
Curriculum Vitae for Glenn Shafer
Glenn Shafer is University Professor at Rutgers University.
Glenn spent his youth on a farm near Caney, Kansas. He earned two degrees
from Princeton University: an A.B. in mathematics in 1968 and a Ph.D. in
mathematical statistics in 1973. After teaching in Statistics at Princeton,
he returned to Kansas in 1976 to teach in Mathematics at the University of
Kansas. In 1984, he moved from Mathematics to Business at Kansas. He joined
the Rutgers Business School in 1992 and served as its dean from 2011 to 2014.
In 1976 Glenn published A Mathematical Theory of
Evidence, launching a widely used methodology for handling
uncertainty in expert systems, the DempsterShafer theory of belief functions.
An international organization, the Belief
Functions and Applications Society, is devoted to the continued
development and use of this theory.
Glenn’s most recent book is GameTheoretic Foundations for Probability and Finance, coauthored by Volodya Vovk and published by Wiley in 2019. Glenn believes that the gametheoretic foundation for probability will reshape the interpretation and use of probability in many fields. It leads to new methods of statistical testing and forecasting, clarifies how speculation can lead to the apparent random behavior of market prices, and deepens the analysis of causality in Glenn’s 1996 book, The Art of Causal Conjecture. Further research on gametheoretic probability is posted at www.probabilityandfinance.com.
Glenn has published in journals in statistics, philosophy, history,
psychology, computer science, economics, engineering, accounting, and law. He
has won teaching awards in both mathematics and business. He was a Guggenheim
fellow in 198384, a fellow at the Center for Advanced Study in the
Behavioral Sciences in 198889, and a Fulbright fellow at the Free University
of Berlin in Spring 2001. He is a fellow of both the Institute of
Mathematical Statistics and the American Association for Artificial
Intelligence.
For more information on Glenn's career and research, see the interview of Glenn in the June 2016 issue of www.thereasoner.org, a blog for philosophers, or the intellectual autobiography that appeared in 2016 in International Journal of Approximate Reasoning.
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Office Address
Department of Accounting and Information Systems
Rutgers Business School–Newark and New Brunswick
1 Washington Park, Newark, New Jersey 07102
Departmental telephone: 9733531644
gshafer@business.rutgers.edu
Personal Web Site
www.glennshafer.com
Personal Information
Citizen of the United States. Born November 21, 1946, in Caney, Kansas.
Children: Richard, born March 3, 1978. Dennis, born April 28, 1981.
Married to Nell Irvin
Painter on October 14, 1989.
Education
A.B., 1968, Mathematics, Princeton University
Ph.D., 1973, Statistics, Princeton University. Dissertation: Allocations
of Probability: A Theory of Partial Belief.
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Employment 


196869 
Peace Corps, Afghanistan 


High school geometry teacher 
197376 
Department of Statistics, Princeton
University 


Assistant Professor 
197684 
Department of Mathematics, University
of Kansas 


Assistant Professor, 197678 


Associate Professor, 197883 


Professor, 198384 
198492 
School of Business, University of Kansas 


Professor, 198487 


Ronald G. Harper Distinguished Professor,
198892 
1992Present 
Department of Accounting and Information
Systems, Rutgers Business School 


Distinguished Professor, 1992Present 


Board of Governors Professor since 2004 
1996Present 
Visiting Professor, Computer Learning
Research Centre, Department of Computer Science, Royal Holloway College,
University of London 


2015Present 
University Professor, Rutgers University 
 Service at Rutgers University
 Appointments and Promotions Committee, Rutgers Business School. Member 199496, 199799, and 20092010. Chair 199596 and 199899.
 MBA Curriculum Task Force, Rutgers Business School, 199596. Organized the first major revision of the school's MBA curriculum in over ten years.
 Director, Rutgers Ph.D. in Management Program, 19972000 and 20032010. Reorganized the program's curriculum and its advising, admission, and funding policies.
 Promotion Review Committee, Rutgers University. Member 20012006.
 Dean, Rutgers Business School – Newark and New Brunswick, January 2011 to December 2014.
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 Academic Awards
 National Merit Scholar, 196468
 NSF Doctoral Fellow, 197073
 NSF Postdoctoral Fellow, 197879
 Guggenheim Fellow, 198384
 Fellow, Center for Advanced Study in the Behavioral Sciences,
198889
 Fellow, Institute of Mathematical Statistics, 1990
 Fellow, American Association for Artificial Intelligence, 1992
 Fulbright Fellow, Berlin, Germany, Spring 2001
 Gorenstein
Award for Research and Service at Rutgers University, 2004
 Honorary doctorate in economics, University of Economics, Prague, 2009.
 Kampé de Feriet Award, International Conference on Information Processing and Management of Uncertainty in KnowledgeBased Systems, Cádiz, Spain, June 2018.
 Sarton Medal, University of Ghent. December 2018.
 Editorial Service
 Advisory Board, International Journal of Approximate Reasoning,
1986
 Editorial Board, International Journal of Intelligent Systems,
1986
 Editorial Board, Electronic
Journal for History of Probability and Statistics, 2005
 Associate Editor, Statistical Science, 2008
 Associate Editor, Journal of the American Statistical Association,
198082
 Associate Editor, Knowledge Engineering Review, 19941998
 Reviewer for Mathematical Reviews, 197981
 Referee for journals in accounting, artificial intelligence, engineering,
information science, management science, mathematical psychology,
physics, probability and statistics, and philosophy of science
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 Memberships
 American Accounting Association
 American Association for Artificial Intelligence
 American Statistical Association
 Bachelier Finance Society
 History of Science Society
 Institute of Mathematical Statistics
 Principal Investigator
for Grants
 National Science Foundation, GP43248 (197476), "The assessment
of statistical evidence," $13,200
 National Science Foundation, MCS7801887 (197879), "Studies
in probable and statistical inference," $7,705
 National Science Foundation, MCS8002213 (198083), "Studies
in probable and statistical inference," $34,344
 National Science Foundation, MCS8301282 (198386), "Studies
in probable and statistical inference," $30,000
 National Endowment for the Humanities, HL2067384 (198485), "Translation
of Bernoulli's Ars Conjectandi," $21,000
 National Science Foundation, IST8405210 (198486), "Belief
functions and fuzzy sets," $82,375
 Subcontract under Office of Naval Research, NOOO1485K0492 (198587),
"Theory and applications of belief functions," $72,276
 Peat, Marwick, Mitchell Research Opportunities in Auditing (198687),
"An interactive tool for managing uncertainty in expert systems
for auditing," $109,320. With Prakash Shenoy and Rajendra Srivastava
 United Telecommunications and Kansas Advanced Technology Commission
(198688), "Expert system research and development," $120,540.
With Kenneth O. Cogger
 National Science Foundation, IST8610293 (198689), "Belief
functions in artificial intelligence," $255,197
 National Science Foundation, IRI8902444 (198991), "Belief
functions in artificial intelligence," $181,715. With Prakash
Shenoy
 National Science Foundation, SBE9213674 (199295), "The unity
and diversity of probability." $80,000
 National Science Foundation, (19992002), "The representation
of causality for auditing." $338,114
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Consulting
SRI International, Decision Sciences Consortium, BMD Corporation, Exxon
Production Research, Allied Bendix, General Motors, Educational Testing
Service, BDO Seidman
 Teaching Awards
 Nominee, Hope Undergraduate Teaching Award, University of Kansas,
1979 and 1983
 G. Bailey Price Award for Outstanding Teaching of Graduate Mathematics,
Department of Mathematics, University of Kansas, 1983
 Mentor Award from the University of Kansas Business School Doctoral
Students Association, 1987, 1992
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Publications
Books
 A Mathematical Theory of Evidence.
Princeton University Press, 1976.
 Readings in Uncertain Reasoning
(with Judea
Pearl). Morgan Kaufmann, 1990.
 Probabilistic Expert Systems.
SIAM, 1996.
 The Art of Causal Conjecture.
MIT Press, 1996.
 Probability
and Finance: It's Only a Game! (with Vladimir
Vovk) Wiley, 2001. A Japanese translation, by Kei Takeuchi and Masayuki
Kumon, was published by Iwanami
Shoten in 2006.
 Algorithmic Learning
in a Random World, by Vladimir Vovk, Alex Gammerman, and Glenn
Shafer. Springer, 2005.
 GameTheoretic Foundations for Probability and Finance (with Vladimir Vovk). Wiley, May 2019.
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Articles
 A theory of statistical evidence. Foundations of Probability Theory,
Statistical Inference, and Statistical Theories of Science, Vol.
II, pp. 365436. W. L. Harper and C. A. Hooker, eds., Reidel. 1976.
 Nonadditive probabilities in the work of Bernoulli and Lambert. Archive
for History of Exact Sciences 19 309370. 1978. Reprinted
as Chapter 6 of Classic Works of the DempsterShafer Theory of Belief Function, edited by Ronald Yager and Liping Liu, Springer, 2008.
 Allocations of probability. Annals of Probability 7
827839. 1979. Reprinted as Chapter 7 of Classic Works of the DempsterShafer
Theory of Belief Functions, edited by Ronald Yager and Liping Liu,
Springer, 2008.
 Reliability described by belief functions (with A. M. Breipohl). Proceedings
1979 Annual Reliability and Maintainability Symposium, IEEE, pp.
2327. 1981.
 Constructive
probability. Synthese 48 160. 1981. Reprinted as
Chapter 9 of Classic Works of the DempsterShafer Theory of Belief Functions,
edited by Ronald Yager and Liping Liu, Springer, 2008.
 Jeffrey's rule of conditioning. Philosophy of Science 48
337363. 1981.
 Two theories of probability, PSA 1978, Vol. 2, pp. 441464.
Peter D. Asquith and Ian Hacking, eds. Philosophy of Science Association,
East Lansing, Michigan. 1981.
 Lindley's paradox (with discussion). Journal of the American Statistical
Association 77 325351. 1982.
 Belief
functions and parametric models (with discussion). Journal of
the Royal Statistical Society, Series B 44 322352. 1982.
Reprinted as Chapter 10 of Classic Works of the DempsterShafer Theory
of Belief Functions, edited by Ronald Yager and Liping Liu, Springer,
2008.
 Bayes's
two arguments for the rule of conditioning. Annals of Statistics
10 10751089. 1982.
 Belief functions. Encyclopedia of Statistical Sciences 1
209. S. Kotz and N. L. Johnson, eds., Wiley. 1982.
 The Bernoullis. Encyclopedia of Statistical Sciences 1
214219. S. Kotz and N. L. Johnson, eds., Wiley. 1982.
 Adjusting Pvalues to account for selection over dichotomies (with
Ingram Olkin). Journal of the American Statistical Association
78 674678. 1983.
 A
subjective interpretation of conditional probability. Journal
of Philosophical Logic 12 453466. 1983.
 Johann Heinrich Lambert. Encyclopedia of Statistical Sciences
4 466468. S. Kotz and N.L. Johnson, eds., Wiley. 1985.
 Miller's paradox. Encyclopedia of Statistical Sciences 5
502503. S. Kotz and N. L. Johnson, eds., Wiley. 1985.
 Moral certainty. Encyclopedia of Statistical Sciences 5
623624. S. Kotz and N. L. Johnson, eds., Wiley. 1985.
 Nonadditive probability. Encyclopedia of Statistical Sciences
6 271276. S. Kotz and N. L. Johnson, eds., Wiley. 1985.
 Languages
and designs for probability judgment (with Amos Tversky). Cognitive
Science 9 309339. 1985. Reprinted in Decision Making,
edited by David Bell, Howard Raiffa, and Amos Tversky, Cambridge
University Press, 1988, pp. 237265. Reprinted as Chapter 13 of Classic
Works of the DempsterShafer Theory of Belief Functions, edited by Ronald
Yager and Liping Liu, Springer, 2008.
 Hierarchical
evidence. Proceedings of the Second Conference on Artificial
Intelligence Applications, Miami Beach, December 1113, 1985, pp.
1621. IEEE Computer Society Press.
 Conditional
probability (with discussion). International Statistical Review
53 261277. 1985.
 Propagating
belief functions with local computations (with Prakash Shenoy).
IEEE Expert 1:3 4352. 1986.
 The
combination of evidence. International Journal of Intelligent
Systems 1 155179. 1986.
 Probability
judgment in artificial intelligence. Uncertainty in Artificial
Intelligence, pp. 127135. J. F. Lemmer and L. N. Kanal, eds., NorthHolland.
1986.
 Savage
revisited (with discussion). Statistical Science 1
463501. 1986. Reprinted in Decision Making, edited by David
Bell, Howard Raiffa, and Amos Tversky, Cambridge University Press, 1988,
pp. 193234.
 The
construction of probability arguments (with discussion). Boston
University Law Review 66 799823. 1986. Reprinted in Probability
and Inference in the Law of Evidence, edited by Peter Tillers, Kluwer,
1988, pp. 185204.
 Probability
judgment in artificial intelligence and expert systems (with discussion).
Statistical Science 2 344. 1987.
 Belief
functions and possibility measures. The Analysis of Fuzzy Information,
Vol. 1: Mathematics and
Logic, pp. 5184. James C. Bezdek,
ed., CRC Press. 1987.
 Implementing
Dempster's rule for hierarchical evidence (with Roger Logan). Artificial
Intelligence 33 272298. 1987. Reprinted as Chapter 18 of
Classic Works of the DempsterShafer Theory of Belief Functions, edited
by Ronald Yager and Liping Liu, Springer, 2008.
 Propagating
belief functions in qualitative Markov trees (with Prakash Shenoy
and Khaled Mellouli). International Journal of Approximate Reasoning
1 349400. 1987.
 Modifiable
combining functions (with Paul Cohen and Prakash Shenoy). AI
EDAM (Artificial Intelligence for Engineering Design, Analysis, and
Manufacturing) 1 4757. 1987.
 Qualitative
Markov networks (with Khaled Mellouli and Prakash Shenoy). Uncertainty
in KnowledgeBased Systems, B. Bouchon and R. R. Yager, eds, pp.
6974. SpringerVerlag. 1987.
 Saint Petersburg paradox. Encyclopedia of Statistical Sciences
8 865870. S. Kotz and N. L. Johnson, eds., Wiley. 1988.
 Sharp null hypotheses. Encyclopedia of Statistical Sciences
8 433436. S. Kotz and N. L. Johnson, eds., Wiley. 1988.
 Propagation
of belief functions: A distributed approach (with Prakash Shenoy
and Khaled Mellouli). Uncertainty in Artificial Intelligence
2 325335. J. F. Lemmer and L. N. Kanal, eds. NorthHolland.
1988.
 Evidential
reasoning using DELIEF (with Debra Zarley and YenTeh Hsia). AAAI88;
Proceedings of the Seventh National Conference on Artificial Intelligence,
pp. 205209. 1988.
 Auditor's
Assistant: A knowledgeengineering tool for audit decisions (with
Prakash Shenoy and Rajendra Srivastava). Proceedings of the 1988
ToucheRoss/ University of Kansas Symposium, pp. 6184. 1988.
 An
axiomatic framework for Bayesian and belieffunction propagation
(with Prakash Shenoy). Proceedings of the Fourth Workshop on Uncertainty
in Artificial Intelligence, pp. 307314, Minneapolis, MN, 1988.
 The
unity of probability. Pp. 95126 of Acting Under Uncertainty:
Multidisciplinary Conceptions, edited by George von Furstenberg,
Kluwer (Boston), 1990.
 Perspectives on the theory and practice of belief functions. International
Journal of Approximate Reasoning 4 323362. 1990. PREPUBLICATION
VERSION
 The
Bayesian and belieffunction formalisms: A general perspective for auditing
(with Rajendra Srivastava and with discussion). Auditing: A Journal
of Practice and Theory, Volume 9 Supplement, 110148, 1990.
 Probability propagation (with Prakash Shenoy). Annals of Mathematics
and Artificial Intelligence 2 327352. 1990. PREPUBLICATION
VERSION
 Axioms for probability and belieffunction propagation (with Prakash
Shenoy). Uncertainty in Artificial Intelligence 4, pp.
169198. R. D. Shachter, T. S. Levitt, L. N. Kanal, and J. F. Lemmer,
eds. NorthHolland, 1990. PREPUBLICATION
VERSION. Reprinted as Chapter 20 of Classic Works of the DempsterShafer
Theory of Belief Functions, edited by Ronald Yager and Liping Liu,
Springer, 2008.
 The unity and diversity of probability (with discussion). Statistical
Science 5 435462. 1990. PREPUBLICATION
VERSION
 Why should statisticians be interested in artificial intelligence?
Pp. 1658 of Proceedings of the Fifth Annual Conference on Making
Statistics More Effective in Schools of Business, University of
Kansas, June 12, 1990, edited by Steven Hillmer and Lawrence A. Sherr.
PREPUBLICATION
VERSION
 What is probability? In Perspectives on Contemporary Statistics,
edited by David C. Hoaglin and David S. Moore. Mathematical Association
of America, MAA Notes Number 21, pp. 93105. 1992. PREPUBLICATION
VERSION
 Belieffunction formulas for audit risk (with Rajendra P. Srivastava).
The Accounting Review 67 249283. 1992. PREPUBLICATION
VERSION. Reprinted as Chapter 23 of Classic Works of the DempsterShafer
Theory of Belief Functions, edited by Ronald Yager and Liping Liu,
Springer, 2008.
 The DempsterShafer theory. Pp. 330331 of Encyclopedia of Artificial
Intelligence, Second Edition, Stuart C. Shapiro, editor. Wiley.
1992. PREPUBLICATION
VERSION
 Can the various meanings of probability be reconciled? Pp. 165196
of A Handbook for Data Analysis in the Behavioral Sciences: Methodological
Issues, edited by Gideon Keren and Charles Lewis. Lawrence Erlbaum,
Hillsdale, New Jersey, 1993. PREPUBLICATION
VERSION
 The early development of mathematical probability. Pp. 12931302 of
Companion Encyclopedia of the History and Philosophy of the Mathematical
Sciences, edited by I. GrattanGuinness. Routledge, London, 1993.
PREPUBLICATION
VERSION
 Integrating statistical and nonstatistical audit evidence using belief
functions: A case of variable sampling (with Rajendra P. Srivastava).
International Journal of Intelligent Systems 9 519539.
1994. PREPUBLICATION
VERSION
 The subjective aspect of probability. Pp. 5373 of Subjective Probability,
edited by George Wright and Peter Ayton. Wiley, 1994. PREPUBLICATION
VERSION
 Propagating beliefs in ANDtrees (with Rajendra P. Srivastava and
Prakash P. Shenoy). International Journal of Intelligent Systems
10 647664. 1995. PREPUBLICATION
VERSION
 Philosophical foundations for causal networks. Pp. 312 of Advances
in Intelligent Computing, edited by Bernadette BouchonMeunier,
Ronald R. Yager, and Lotfi A. Zadeh. Springer Verlag, Lecture Notes
in Computer Science 945. 1995. PREPUBLICATION
VERSION
 The significance of Jacob Bernoulli's Ars Conjectandi for the
philosophy of probability today. Journal of Econometrics. 75
1532. 1996. PREPUBLICATION
VERSION
 Causal relevance. Pp. 187208 of Reasoning with Uncertainty in
Robotics, edited by Leo Dorst, Michiel van Lambalgen, and Frans
Voorbraak. Springer Verlag, Lecture Notes in Artificial Intelligence
1093. 1996. PREPUBLICATION
VERSION
 Vanishing tetrad differences and model structure (with Alexander Kogan
and Peter Spirtes). International Journal of Uncertainty, Fuzziness
and KnowledgeBased Systems 4 209224. 1996. PREPUBLICATION
VERSION. RUTCOR
RESEARCH REPORT
 The situation of causality. Foundations of Science 1
543563. 1996. PREPUBLICATION
VERSION
 Lindley's paradox. Encyclopedia of Biostatistics, P. Armitage
and T. Colton, eds., Wiley. 1997. PREPUBLICATION
VERSION
 A logic of action, causality, and the temporal relations of events
(with Richard Scherl). Pp. 8996 of the Proceedings of the Fifth
International Workshop on Temporal Representation and Reasoning (Time98),
edited by Lina Khatib and Robert Morris. Los Alamitos, Calif.: IEEE
Computer Society. 1998 PREPUBLICATION
VERSION
 Mathematical foundations for probability and causality. Pp. 207270
of Mathematical Aspects of Artificial Intelligence, edited by
Frederick Hoffman. American Mathematical Society, Symposia in Applied
Mathematics, Volume 55. 1998. PREPUBLICATION
VERSION
 Causal logic. Pp. 711719 of Proceedings of the 13^{th}
European Conference on Artificial Intelligence (ECAI98), edited
by Henri Prade. Chichester: Wiley. 1998. PREPUBLICATION
VERSION
 Causal conjecture. Pp. 1732 of Causal Models and Intelligent Data
Management, edited by Alex Gammerman. Springer. 1999. PREPUBLICATION
VERSION
 The logic of events (with Peter R. Gillett and Richard Scherl). Annals
of Mathematics and Artificial Intelligence 28 315389. 2000.
PREPUBLICATION
VERSION
 Causality and responsibility. Cardozo Law Review 22
101123. 2001. PREPUBLICATION
VERSION
 Nature's possibilities and expectations. Pp. 147166 of Probability
Theory : Philosophy, Recent History and Relations to Science, edited
by Vincent F. Hendriks, Stig Andur Pedersen, and Kaus Frovin Jørgensen.
Kluwer (Synthese Library, Vol. 297). 2001. PREPUBLICATION
VERSION
 A new understanding of subjective probability and its generalization
to lower and upper prevision (with Peter R. Gillett and Richard Scherl).
International Journal of Approximate Reasoning. 33 149.
2003. PREPUBLICATION
VERSION
 Kolmogorov's contributions to the foundations of probability (with
Vladimir Vovk). Problems of Information Transmission. 39
2131. 2003. PREPUBLICATION
VERSION
 Subjective Probability and Lower and Upper Prevision: A New Understanding
(with Peter R. Gillett and Richard Scherl). Pp. 511525 of ISIPTA '03:
Proceedings of the Third International Symposium on Imprecise Probabilities
and Their Applications, Lugano, Switzerland, edited by JeanMarc Bernard,
Teddy Seidenfeld, and Marco Zaffalon. Carleton Scientific 2003. PREPUBLICATION
VERSION
 Selfcalibrating Probability Forecasting (with Vladimir Vovk and Ilia Nouretdinov). Pp. 11331140 of NIPS 2003: Advances in Neural Information Processing Systems 16  Proceedings of the 2003 Conference (v. 16), edited by Sebastian Thrun, Lawrence K. Saul, Bernhard Schölkopf. MIT Press June 2004.
 Defensive
forecasting (with Vladimir Vovk and Akimichi Takemura). In AISTATS
2005: Proceedings of the 10th International Workshop on Artificial Intelligence
and Statistics, Barbados, January 68, 2005, edited by Robert Cowell
and Zoubin Ghahramani, pp. 365372. 2005.
 Defensive
forecasting for linear protocols (with Vladimir Vovk, Ilia Nouretdinov,
and Akimichi Takemura). In Algorithmic Learning Theory: Proceedings
of the 16th International Conference, ALT 2005, Singapore, October 811,
2005, edited by Sanjay Jain, Hans Ulrich Simon, Etsuji Tomita. Lecture
Notes in Computer Science, Volume 3734. SpringerVerlag. 2005. RELATED
WORKING PAPER.
 Good randomized sequential probability forecasting is always possible
(with Vladimir Vovk). Journal of the Royal Statistical Society, Series
B. 67 747764. 2005. RELATED
WORKING PAPER
 The
sources of Kolmogorov’s Grundbegriffe (with Vladimir
Vovk). Statistical
Science Vol. 21, No. 1, pp. 7098, 2006. RELATED
WORKING PAPER.
 The GameTheoretic Framework for Probability. In IPMU
2006: Proceedings of the 11th International Conference on Information
Processing and Management of Uncertainty in KnowledgeBased Systems,
Paris, July 27, 2006, pp. 310. 2006. PREPUBLICATION
VERSION.
 A probabilistic logic based on the acceptability of gambles (with Peter R. Gillett and Richard B. Scherl). International Journal of Approximate Reasoning. 44(3) 281300. 2007. PREPUBLICATION VERSION.
 From Cournot's principle to market efficiency. Pp. 5595 of Augustin Cournot: Modelling Economics, edited by JeanPhilippe Touffut and published by Edward Elgar, 2007. The article also appeared in French, as “Du principe de Cournot au marche éfficient,” pp. 83132 of La Société du probable: Les mathématiques sociales après Augustin Cournot, edited by by JeanPhilippe Touffut and published by Albin Michel, 2007. PREPUBLICATION VERSION.
 The GameTheoretic Capital Asset Pricing Model (with Vladimir Vovk). International Journal of Approximate Reasoning 49(1) 175197. September 2008. Related Working Paper.
 GameTheoretic Probability and Defensive Forecasting. Proceedings of the 2007 Winter Simulation Conference, edited by S. G. Henderson, B. Biller, M.H. Hsieh, J. Shortle, J. D. Tew, and R. R. Barton.
PREPUBLICATION VERSION
 Defensive forecasting: How to use similarity to make forecasts that pass statistical tests. Pp. 215147 of Preferences and Similarities, edited by Giacomo Della Riccia, Didier Dubois, Rudolf Kruse, and HansJoachim Lenz, CISM Series, SpringerWienNewYork, 2008. RELATED WORKING PAPER
 A Tutorial on Conformal Prediction (with Vladimir Vovk), Journal of Machine Learning Research. 9 (March) 371421. 2008.
 Portfolio Selection and Online Learning (with Tatsiana Levin). International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems 16(4) 437473. August 2008.
 The education of Jean André Ville, www.jehps.net (Electronic Journal for History of Probability and Statistics) 5(2), June 2009.
 On the history of martingales in the study of randomness (with Laurent Bienvenu and Alexander Shen) www.jehps.net (Electronic Journal for History of Probability and Statistics) 5(2), June 2009.
 How to base probability theory on perfectinformation games (with Vladimir Vovk and Roman. Chychyla), Bulletin of the European Association for Theoretical Computer Science, Number 100, pp. 115148, February 2010.
 Predicting bond yields using defensive forecasting (with Sam Ring). Pp. 12571272 of Handbook of Quantitative Finance and Risk Management, edited by C. F. Lee, Alice C. Lee, and John Lee, Springer, 2010.
 A betting interpretation for probabilities and DempsterShafer degrees of belief. International Journal of Approximate Reasoning 52 127136. 2011.
 The generality of the zeroone laws (with Akimichi Takemura, Vladimir Vovk). Annals of the Institute of Statistical Mathematics 63 873885. 2011.
 What does the arrest and release of Emile Borel and his colleagues in 1941 tell us about the German Occupation of France? (with Laurent Mazliak). Science in Context 24 587623. 2011. PREPUBLICATION VERSION. RELATED DOCUMENTS
 Test martingales, Bayes factors, and pvalues (with Alexander Shen, Nikolai Vereshchagin, and Vladimir Vovk). Statistical Science 26 84101. 2011.
 Insuring against loss of evidence in gametheoretic probability (with A. Philip Dawid, Steven de Rooij, Alexander Shen, Nikolai Vereshchagin, and Vladimir Vovk). Statistics and Probability Letters 81 157162. 2011.
 Lévy's zeroone law in gametheoretic probability (with Vladimir Vovk and Akimichi Takemura). Journal of Theoretical Probability 25(1):124. DOI: 10.1007/s1095901103903. 2012.
 The historian as unifier of probability’s diversity. www.jehps.net (Electronic Journal for History of Probability and Statistics) 9(1), December 2013.
 Gametheoretic probability (with Vladimir Vovk). Pp. 113134 of Introduction to Imprecise Probabilities, edited by Thomas Augustin, Frank P. A. Coolen, Gert de Cooman, and Matthias C. M. Troffaes, Wiley, 2014.
 Dempster's rule of combination. International Journal of Approximate Reasoning 79 2640. December 2016. PREPUBLICATION VERSION.
 Constructive decision theory. International Journal of Approximate Reasoning 79 4562. December 2016. PREPUBLICATION VERSION.
 The problem of dependent evidence. International Journal of Approximate Reasoning 79 4144. December 2016. PREPUBLICATION VERSION.
 A Mathematical Theory of Evidence turns 40. International Journal of Approximate Reasoning 79 725. December 2016. PREPUBLICATION VERSION.
 MarieFrance Bru and Bernard Bru on dice games and contracts. Statistical Science 33 277284. 2018. PREPUBLICATION VERSON.
 Reconciling betting and measure. Prisme 36. Centre Cournot, October 2018.
 Pascal’s and Huygens’s gametheoretic foundations for probability. Sartoniana 32 117145. 2019
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Book Reviews
 Review of The Emergence of Probability, by Ian Hacking. Journal
of the American Statistical Association 71 519521. 1976.
 Review
of I. J. Bienaymé: Statistical Theory Anticipated, by
C. C. Heyde and E. Seneta, ISIS 70 329. 1979.
 Review
of The Enterprise of Knowledge, by Isaac Levi. Technometrics
24 164165. 1982.
 Review
of Statistical Decision Theory, by James O. Berger. Psychometrika
47 119. 1982.
 Review
of Judgment Under Uncertainty: Heuristics and Biases, edited
by D. Kahneman, P. Slovic, and A. Tversky. Journal of the American
Statistical Association 79 223224. 1984.
 Review
of Expected Utility Hypotheses and the Allais Paradox, edited
by M. Allais and O. Hagen. Journal of the American Statistical
Association 79 224225. 1984.
 Review
of Faces of Science, by V. V. Nalimov. Technometrics
26 292. 1984.
 Review
of Statistical Methods for MetaAnalysis, by Larry V. Hedges
and Ingram Olkin. American Scientist 75 438. 1987.
 Review of The Empire of Chance, by Gerd Gigerenzer et al. Science
247 225. 1990. PREPUBLICATION
VERSION
 Review of The Rise of Statistical Thinking, 18201900, by Theodore
M. Porter. Annals of Science 47 207209. 1990. PREPUBLICATION
VERSION
 Review of Influence Diagrams, Belief Nets, and Decision Analysis,
edited by R. M. Oliver and J. Q. Smith. Journal of the American Statistical
Association 87 585586. 1992.
 Review of Probabilistic Reasoning in Intelligent Systems: Networks
of Plausible Inference, by Judea
Pearl, Representing and Reasoning with Probabilistic Knowledge:
A Logical Approach to Probabilities, by Fahiem Bacchus, and Causation,
Prediction, and Search, by Peter Spirtes, Clark Glymour, and Richard
Scheines. Synthese 104 161176. 1995. PREPUBLICATION
VERSION
 Review of Creating Modern Probability, by Jan von Plato. Annals
of Probability. 26 416424. 1998. PREPUBLICATION
VERSION
 Review of Operational Subjective Statistical Methods: A Mathematical,
Philosophical, and Historical Introduction, by Frank Lad. Journal
of the American Statistical Association 94 648649. 1999.
PREPUBLICATION
VERSION
 Review of Scientific Reasoning: The Bayesian Approach, by Colin
Howson and Peter Urbach.
Journal of the American Statistical Association 102 387. 2007. PREPUBLICATION
VERSION
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Other Contributions
 Comment
on "Scoring rules and the inevitability of probability," by D. V. Lindley.
International Statistical Review 50 1819. 1982.
 Comment
on "Can human irrationality be experimentally demonstrated?" by L. J.
Cohen. The Behavioral and Brain Sciences 6 508509.
1983.
 Comment
on "Combining probability distributions," by C. Genest and J. V. Zidek.
Statistical Science 1 135137. 1986.
 Comment
on "A diagrammatic approach to evidence," by R. D. Friedman. Boston
University Law Review 66 629633. 1986.
 Comment
on "An inquiry into computer understanding," by Peter Cheeseman.
Computational Intelligence 4 121124. 1988.
 Comment
on "Integration of Two Kinds of Expertise," by B. Chandrasekaran and
Jesse Dillard. Auditor Productivity in the Year 2000; 1987 Proceedings
of the Arthur Young Professors' Roundtable. Andrew Bailey, ed.,
pp. 121128. 1988.
 Comment
on "Local computation with probabilities on graphical structures and
their application to expert systems," by S. L. Lauritzen and D. J. Spiegelhalter.
Journal of the Royal Statistical Society, Series B 50
214. 1988.
 Rejoinder to comments on "Perspectives on the theory and practice
of belief functions." International Journal of Approximate Reasoning
6 445480. 1992. PREPUBLICATION
VERSION
 Foreword to Advances in the DempsterShafer Theory of Evidence,
edited by Ronald R. Yager, Janusz Kacprzyk, and Mario Fedrizzi. Wiley,
1993. PREPUBLICATION VERSION
 Comment on "A logic of probability, with applications to the foundations
of statistics," by V.
G. Vovk, Journal of the Royal Statistics Society, Series B
55. 1993. PREPUBLICATION
VERSION
 Advances in the understanding and use of conditional independence.
(Introduction to a collection of articles.) Annals of Mathematics
and Artificial Intelligence 21 111. 1998. PREPUBLICATION
VERSION
 Comment on "Causal inference without counterfactuals", by A. P. Dawid.
Journal of the American Statistical Association 95 438442.
2000. PREPUBLICATION VERSION
 Comment on "Estimating causal effects," by George Maldonado and Sander
Greenland. International Journal of Epidemiology. 31(2) 4345. 2002. PREPUBLICATION VERSION
 Comments on "Constructing a Logic of Plausible Inference: A Guide
to Cox's Theorem", by Kevin S. Van Horn. International Journal
of Approximate Reasoning 35 97105. 2004. PREPUBLICATION
VERSION
 Comments on "A foundational justification for a weighted likelihood
approach to inference", by R.J. Bowater. International Statistical
Review 72 331334. 2004. PREPUBLICATION
VERSION
 Poisson, the Probability Calculus, and Public Education, by Bernard
Bru. Electronic Journal
for History of Probability and Statistics 1(2). November 2005.
(This is a translation into English by Glenn Shafer of “Poisson,
le calcul des probabilités et l’instruction publique,”
on pp. 5194 of Siméon Denis Poisson et la science de son temps,
Michel Métivier, Pierre Costabel, and Pierre Dugac, eds., Editions
de l’Ecole Polytechnique, Palaiseau, 1981.)
 Comments on "Hedging Predictions in Machine Learning", by Alexander Gammerman and Vladimir Vovk. The Computer Journal. Volume 50, March, 2007 168169. PREPUBLICATION VERSION
 Foreword (with A. P. Dempster) on pp. ixx of Classic Works of the DempsterShafer Theory of Belief Functions, Ronald Yager and Liping Liu (eds.), Springer 2008.
 Comments on Harman and Kulkarni’s “Reliable Reasoning”, Abstracta, Special Issue III, pp. 1017, 2009.
 Introduction to special issue on the history of martingales: The Splendors and Miseries of Martingales (with Laurent Mazliak), www.jehps.net (Electronic Journal for History of Probability and Statistics) 5(2), June 2009.
 List of Jean Ville’s publications, www.jehps.net (Electronic Journal for History of Probability and Statistics) 5(2), June 2009.22. Summary of the scientific work of Mr. Jean Ville (1955), translation into English and notes by Glenn Shafer, www.jehps.net (Electronic Journal for History of Probability and Statistics) 5(2), June 2009.
 Jean Ville’s 1956 cv, translation into English and notes by Glenn Shafer, www.jehps.net (Electronic Journal for History of Probability and Statistics) 5(2), June 2009.
 Jean A. Ville : Game theory, duality, economic growth (1983), by Jean A. Ville, translation into English and notes by Glenn Shafer, www.jehps.net (Electronic Journal for History of Probability and Statistics) 5(2), June 2009.
 Jean Ville’s recollections about martingales (198485), reported by P.Crepel, translation into English and notes by Glenn Shafer, www.jehps.net (Electronic Journal for History of Probability and Statistics) 5(2), June 2009.
 Bernard d’Orgeval’s obituary of Jean Ville (1992), translation into English and notes by Glenn Shafer, www.jehps.net (Electronic Journal for History of Probability and Statistics) 5(2), June 2009.
 A letter of Paul Lévy to T. Hida, translation into English and notes by Glenn Shafer, www.jehps.net (Electronic Journal for History of Probability and Statistics) 5(2), June 2009.
 Dice Games, by MarieFrance Bru and Bernard Bru. Translation from the French by Glenn Shafer. Statistical Science 33 285297. 2018.
back to top
Selected Unpublished Papers
 An
Axiomatic Study of Computation in Hypertrees, Working Paper 232.
School of Business, University of Kansas. Oct. 16, 1991.
 On the Puzzle
Presented by Richard Gill (unpublished memorandum written following
a workshop on causality at Santa Fe in 1997).
 The Notion of
Event in Probability and Causality: Situating Myself Relative to Bruno de
Finetti (unpublished paper presented in Bologna and Pisa in March 2001).
 Using GMAT/GRE scores for doctoral admissions. July 1, 2007. [gmatgre_recommendations.pdf]
See also GameTheoretic Working Papers and Papers on
Causality
back to top
Presentations Since Joining Rutgers in 1992
 Axioms for Uncertain Reasoning. Keynote address at the Fourth International Conference on Computing and Information. Toronto. May 28, 1992.
 Uncertainty in Expert Systems. Ten lectures as the principal lecturer at an NSFCBMS Regional Research Conference. University of North Dakota. June 15, 1992.
 The Handling of Uncertainty in Expert Systems. Keynote address at the 1992 Conference on Artificial Intelligence in Petroleum Exploration and Production. Houston. July 22, 1992.
 Axioms for Computation in Join Trees. Department of Statistics, Temple University. October 13, 1992.
 Decision Making with Generalizations of Probability. Presentation for the panel (with Kenneth Arrow and Peter Fishburn) on epistemic uncertainty in rational decision at the 34th Joint National Meeting of ORSA/TIMS. San Francisco. November 4, 1992.
 Probabilistic Expert Systems. Tutorial at the Rutgers Conference on Information Systems. Newark. November 20, 1992.
 The Language of Causation in Event Trees. Fourth International Workshop in Artificial Intelligence and Statistics. Fort Lauderdale. January 6, 1993.
 Probabilistic Causation. Department of Civil Engineering. Princeton University. February 26, 1993.
 Causal Explanations for Structural Models. Organization Management Seminar. Rutgers University. Newark. March 6, 1993.
 Probabilistic Causation. Rutgers Center for Operations Research. New Brunswick. March 31, 1993.
 Probabilistic Causation. Department of Computer Science. CarnegieMellon University. April 22, 1993.
 The Significance of Jacob Bernoulli's Ars Conjectandi for the Philosophy of Probability Today. Bayesian Statistics and Econometrics Conference, Basel, Switzerland. April 29, 1993.
 Understanding Causation Probabilistically. Department of Philosophy. London School of Economics. June 12, 1993.
 Causality in Event Trees. Psychology Department Workshop. Princeton University. September 15, 1993.
 An Abstract Theory of Probability. Rutgers Center for Operations Research. October 21, 1993.
 An Abstract Theory of Probability. Department of Statistics. Harvard University. October 27, 1993.
 The Tetrad Representation Theorem. Statistics Seminar Series. Princeton. November 4, 1993.
 The Causal Interpretation of Bayes Nets. Decision Sciences Department, Fuqua School of Business, Duke University. February 17, 1994.
 The Causal Interpretation of Structural Equations Models. Marketing Seminar. Columbia Business School. March 3, 1994.
 Conditional Independence and its Cousins. Information Sciences Seminar, Department of Electrical Engineering. Princeton University. April 21, 1994.
 The Causal Interpretation of Bayesian Expert Systems. Fourth Workshop on Normative Systems. Aalborg, Denmark. May 9, 1994.
 Probability and Causality. Kolmogorov Seminar, Department of Mathematical Logic, Moscow State University. May 16, 1994.
 The Representation of Causation. Plenary Lecture, International Conference on Information Processing and Management of Uncertainty in KnowledgeBased Systems, Paris, July 4, 1994.
 The Art of Causal Conjecture. Department of Statistical Science, University College London. October 25, 1994.
 Moivrean and Humean Events. Center for the Philosophy of Science, London School of Economics. October 27, 1994.
 The Relevance of Trees. Symposium on Relevance, American Association for Artificial Intelligence, New Orleans. November 5, 1994.
 A New Probabilistic Foundation for Causal Inference. Department of Statistics. Rutgers University. December 7, 1994.
 Tutorial on Causal Models. Biennial Meeting on Artificial Intelligence and Statistics, Fort Lauderdale. January 6, 1995.
 The Art of Causal Conjecture. Department of Statistics. Yale University. January 23, 1995.
 Foundations of Probability and Causality: Nine Lectures. Research Seminar on Probability and Causality. Department of Mathematics and Computer Science, Aalborg University, Denmark. June 1230, 1995.
 Alternative Causal Interpretations of Bayes Nets. International Research Seminar on Statistics and Expert Systems. Oberwolfach, Germany. July 4, 1995.
 The Multiple Causal Interpretations of Bayes Nets. Invited lecture followed by panel discussion. Eleventh Annual International Conference on Uncertainty in Artificial Intelligence. Montreal. August 20, 1995.
 Lord's Paradox. Department of Biostatistics. Columbia University. September 14, 1995.
 Two Frameworks for Causality. Department of Mathematical Statistics. Columbia University. September 18, 1995.
 Combining Statistical and Computational Ideas of Causality. Department of Computer Science. Rutgers University. October 16, 1995.
 Lord's Paradox. Department of Operations Research. University of Delaware. October 27, 1995.
 Semantics for Computational Representations of Causality. Department of Computer Information Systems. New Jersey Institute of Technology. Newark, New Jersey. November 29, 1995.
 New Foundations of Causal Inference. International Conference on Uncertainty in Robotics. Amsterdam, Holland. December 4, 1995.
 Evidence, Causality, and Possibility. International Atomic Energy Agency. Vienna, Austria. December 7, 1995.
 Mathematical Foundations for Causal Reasoning. International Workshop on Mathematics and Artificial Intelligence. Fort Lauderdale, Florida. January 4, 1996.
 Foundations for Causality and Probability. Tutorial for the American Mathematical Society. Orlando, Florida. January 9, 1996.
 Huygens, Bernoulli, and Hume: The Art of Causal Conjecture. Harrisburg Chapter of the American Statistical Association. May 3, 1996.
 Lord's Paradox. Educational Testing Service. May 20, 1996.
 Humean and Moivrean Events. International Conference on the Notion of Event in Probabilistic Epistemology. University of Trieste. May 28, 1996.
 Causal Explanation of Statistical Observations. Séminaire Risque, Incertitude, et Décision, University of Pierre and Marie Curie (Paris 6). November 4, 1996.
 Causal Logic. Séminaire Intelligence Artificielle et Processus de Décision, University of Pierre and Marie Curie (Paris 6). November 11, 1996.
 Causal Logic. Department of Computer Science, University of Rheims, France. November 14, 1996.
 Causal Explanation of Statistical Observations. Séminaire Risque, Incertitude, et Décision, University of Pierre and Marie Curie (Paris 6). November 18, 1996.
 Causal Logic. Department of Computer Science, University of Fribourg, Switzerland. December 7, 1996.
 Combining Artificial Intelligence and Logic. Department of Computer Science, University of Pierre and Marie Curie (Paris 6). December 16, 1996.
 Causal Logic. Department of Computer Science, University of Grenada, Spain. December 19, 1996.
 The Mathematical Representation of Causality. Département d'Economie et Gestion, Ecole Normale Superieure de Cachan. January 16, 1997.
 Causality in Econometrics. Département d'Economie et Gestion, Ecole Normale Superieure de Cachan. January 23, 1997.
 The Mathematical Representation of Probability. Département d'Economie et Gestion, Ecole Normale Supérieure de Cachan. January 30, 1997.
 The Meaning of Probability in Game Theory and Finance. Départment d'Economie et Gestion, Ecole Normale Supérieure de Cachan. February 6, 1997.
 Causality is not Counterfactual. Center for the Philosophy of the Natural and Social Sciences, London School of Economics. February 10, 1997.
 Causality and Statistics. Department of Statistical Science, University College London. February 11, 1997.
 Causal Reasoning. Department of Computer Science, University of Toulouse. March 12, 1997.
 Causal Explanation and Causal Reasoning. UNICOM Research Seminar, London. March 17, 1997.
 Causal Explanation in Statistics. University of René Descartes (Paris 5). March 24, 1997.
 Fondement de la probabilité sur la théorie des jeux. Department of Economics, University of Paris 1. March 25, 1997.
 The Causal Explanation of Statistical Observations. Institut National de la Statistique et des Etudes Economiques, Paris. April 21, 1997.
 Advances in Graphical Models. Séminaire sur les Réseaux Probabilistes. Department of Computer Science, University of Pierre and Marie Curie (Paris 6). April 28, 1997.
 Causal Explanation of Statistical Observations. Laboratory of Intelligent Sytems. University of Econcomics, Prague. May 5, 1997.
 How to Combine Probability and Logic. Svoboda Lecture for 1997. Academy of Sciences of the Czech Republic, Prague. May 5, 1997.
 The Causal Explanation of Statistical Observations. Institut Supérieur de Gestion, Tunis. May 19, 1997.
 Causal Logic. Institut des Hautes Etudes Commerciales, Carthage. May 20, 1997.
 The Philosophy of Causality. Séminaire conditionnels et rationalité, CREA, Paris. May 30, 1997.
 Conditionnement et Combinaison. Central Research Laboratory, ThompsonCSF. Orsay, France. June 3, 1997.
 The Situation of Causality. Séminaire du Centre d'Analyse et de Mathématique Sociale, Ecole des Hautes Etudes en Sciences Sociales, Paris. June 10, 1997.
 GameTheoretic Foundations for NonAdditive Probability. Workshop on Risk, Uncertainty, and Decision Making. Chantilly, France. June 12, 1997.
 La Règle de Dempster. Séminaire Intelligence Artificielle et Processus de Décision, University of Pierre and Marie Curie (Paris 6). June 19, 1997.
 How to Think about Causality. Conference on Inferential Problems in the Analysis of Treatment Effects. Santa Fe Institute. July 26, 1997.
 A Causal Action Logic. Symposium on Prospects for a Commonsense Theory of Causation, Spring Symposium Series, American Association for Artificial Intelligence, Stanford University. March 24, 1998.
 How to Combine Probability and Logic. Invited Address. European Conference on Artificial Intelligence. Brighton, England. August 28, 1998.
 A GameTheoretic Foundation for Probability. Invited Paper, Third Conference on Logic and the foundations of Game and Decision Theory. International Center for Economic Research. Torino, Italy. December 1720, 1998.
 Causality and Responsibility. Cardozo Law School, Yeshiva University, New York City. March 1, 1999.
 BlackScholes Without Probability. Financial Research Seminar, Chase Bank, Manhattan. July 27, 1999.
 Foundations for Causal Reasoning. Invited Tutorial. Fifteenth Conference on Uncertainty in Artificial Intelligence. Stockholm. July 29, 1999.
 A GameTheoretic Foundation for Probability. Keynote Lecture. Conference on Probability Theory: Philosophy, Recent History, and Relations to Science. Sponsored by the Danish Network for the History and Philosophy of Science and the Danish Natural Science Research Council. University of Roskilde, Denmark. September 16, 1999.
 The Predictive and Counterfactual Understandings of Causality. Closing Lecture. Conference on Probability Theory: Philosophy, Recent History, and Relations to Science. Sponsored by the Danish Network for the History and Philosophy of Science and the Danish Natural Science Research Council. University of Roskilde, Denmark. September 18, 1999.
 Beyond Bayes Nets. Workshop on Conditional Independence Structures and Graphical Models. The Fields Institute for Research in Mathematical Sciences. Toronto. September 27, 1999.
 Axioms for Event Spaces. Seminar on Causal Interpretation of Graphical Models. The Fields Institute for Research in Mathematical Sciences. Toronto. October 4, 1999.
 The Language of Causality. I: Causal Interpretation of Statistical Structure. Sewall Wright Lecture. Program in the Causal Interpretation and Identification of Conditional Independence Structures. The Fields Institute for Research in Mathematical Sciences. Toronto. November 4, 1999.
 The Language of Causality: II: Causality and Responsibility. Sewall Wright Lecture. Program in the Causal Interpretation and Identification of Conditional Independence Structures. The Fields Institute for Research in Mathematical Sciences. Toronto. November 9, 1999.
 Causality and Responsibility. Symposium on Artificial Intelligence and Judicial Proof. Benjamin N. Cardozo School of Law. New York City. April 30, 2000.
 Causal Modular Logic. Berlin Graduate School of Computer Science. Germany. February 21, 2001.
 The Notion of Event in Probability and Causality: Situating Myself Relative to Bruno de Finetti. Scuola Normale Superiore. Pisa, Italy. March 14, 2001.
 Dynamic Events and GameTheoretic Probability. Dipartimento di Scienze Statistiche Paolo Fortunati, Università degli Studi di Bologna. Italy. March 15, 2001.
 The Probability Game. Berlin Fulbright Seminar, Berlin, Germany. March 28, 2001.
 GameTheoretic Foundations for Probability. Joint Seminar of the Department of Economics, University of Leipzig and the Handelschochschule Leipzig. Germany. April 24, 2001.
 Weak Causal Structures and the Central Limit Theorem. Fachbereich Wirtschaftswissenschaft, Frei Universität. Berlin, Germany. April 26, 2001.
 Replacing Measure Theory with Game Theory as a Foundation for Probability. Department of Statistics, University of Munich. Germany. May 28, 2001.
 The Probability Game. Internationales Begegnungszentrum der Wissenschaft. Berlin, Germany. May 30, 2001.
 A GameTheoretic Capital Asset Pricing Model. School of Business. University of Kansas. September 29, 2001.
 Lectures on Probability and Finance. Rutgers University  Newark. JanuaryApril, 2002.
 GameTheoretic Probability. Seminar über Statistik. ETH and University of Zurich. Zurich, Switzerland. January 11, 2002.
 Probability and Finance as a Game. Applied Mathematics Seminar. Cornell University. January 25, 2002.
 A GameTheoretic Capital Asset Pricing Model. Washington Area Finance Association SemiAnnual Meeting. George Washington University. April 31, 2002.
 The Sources of Kolmogorov's Grundbegriffe. International Conference on Kolmogorov and Contemporary Mathematics. Moscow State University. June 18, 2003.
 Causal Interpretation of Graphical Models. 54th Session of the International Statistical Institute. Berlin. August 14, 2003.
 Putting Finance Theory at the Heart of Probability Theory. Research Colloquium, LeBow College of Business, Drexel University, Philadelphia. November 14, 2003.
 Foundations for Finance and Probability. Statistics Seminar, Department of Mathematical Sciences, New Jersey Institute of Technology. December 3, 2003.
 The Empirical Aspect of Probability: From Jacob Bernoulli to the Efficient Market Hypothesis. Gorenstein Lecture, Rutgers University. New Brunswick, New Jersey. April 21, 2004.
 The Empirical Aspect of Probability. Department of Mathematical Informatics, University of Tokyo, Hongo Campus. May 26, 2004.
 Conformal Prediction. Department of Mathematics, University of Tokyo, Komaba Campus. May 27, 2004.
 Contributions to Machine Learning. Department of International Studies, Meiji Gakuin University, Tokyo. May 31, 2004.
 Why do Price Series Look Like Ito Processes? Statistics Seminar, Department of Economics, University of Tokyo, Hongo Campus. June 1, 2004.
 Is Everything Stochastic? Statistics Seminar, Department of Mathematics and Computing Science, Tokyo Institute of Technology. June 2, 2004.
 Implications of Cournot's Principle for Machine Learning and Finance. Department of Computer Science, Royal Holloway College. June 29, 2004.
 Dynamic Hedging Without Probability. Conference on Financial Innovation, sponsored by the Rutgers University Whitcomb Center for Research in Financial Services and held at Verizon Headquarters, New York City. November 12, 2004.
 Defensive Forecasting. 10th International Workshop on Artificial Intelligence and Statistics, Barbados. January 7, 2005.
 The GameTheoretic Framework for Managing Uncertainty. Threehour tutorial. 8th International Conference on Information Fusion (FUSION 2005). Philadelphia. July 29, 2005.
 From Cournot's Principle to the Efficient Market Hypothesis. Cournot Centre for Economic Studies, Paris. 8th International Conference: Augustin Cournot; Economic Models and Rationality. Paris. December 1, 2005.
 GameTheoretic Probability and the History of the Philosophy of Probability. Keynote. Workshop on GameTheoretic Probability and Related Topics. University of Tokyo. March 17, 2006.
 The implications of Cournot’s principle for market prices. Ecole des Hautes Etudes en Sciences Sociales, Paris. May 16, 2006.
 Defensive Forecasting. Séminaire Données et Apprentissage Artificiel. Laboratoire d'Informatique de Paris 6. May 18, 2006.
 Why did Cournot’s principle disappear? Ecole des Hautes Etudes en Sciences Sociales, Paris. May 19, 2006.
 Philosophical implications of defensive forecasting. Institut d'histoire et de philosophie des sciences et des techniques. Paris. May 19, 2006.
 Introduction to DempsterShafer Theory. Workshop on recent developments in the DempsterShafer theory. RutgersNewark. June 30, 2006.
 The GameTheoretic Framework for Probability. Plenary Lecture, International Conference on Information Processing and Management of Uncertainty (IPMU 2006). Paris. July 5, 2006.
 Defensive Forecasting. ISSEK Invitational Workshop on Preferences and Similiarities, International Centre for Mechanical Sciences, Udine, Italy. October 6, 2006.
 Moving the DempsterShafer Theory Forward. Department of Computer Science, Royal Holloway, University of London. October 20, 2006.
 The Betting Interpretation of DempsterShafer Degrees of Belief. School of Computational Science, Florida State University. February 27, 2007.
 Circling Back to DempsterShafer: A Personal Trajectory. Office of Naval Research, Washington, D.C. February 23, 2007.
 Tutorial on Conformal Prediction. Workshop on Information Theory and Applications, University of California at San Diego. February 1, 2007. RELATED PAPER
 Is There a Useful Way to Deal Formally with Multiple Sources of Uncertainty? Department of Environmental Sciences, Rutgers University. March 2, 2007.
 What is risk? What is probability? Plenary Talk at the 2007 Risk Symposium: Risk Analysis for Homeland Security and Defense, sponsored by Los Alamos National Laboratories, Santa Fe, New Mexico. March 27, 2007
 Game Theoretic Probability and its Applications. Department of Mathematics, Imperial College, London. April 27, 2007.
 What is risk? What is probability? Tutorial, Fusion 2007, Quebec City. July 9, 2007.
 GameTheoretic Probability: Theory and Applications. ISIPTA'07 – Fifth International Symposium on Imprecise Probability: Theories and Applications, Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic. July 17, 2007.
 Probability vs Evidence. Army Research Office Workshop on Abductive Reasoning. University of Maryland. August 23, 2007.
 Gametheoretic probability, with applications to finance and prediction. Bank of America, New York. October 19, 2007.
 DempsterShafer judgements. Workshop commemorating the 50th anniversary of the Harvard Statistics Department, Cambridge. October 27, 2007.
 GameTheoretic Probability and Defensive Forecasting, Winter Simulation Conference '07, Washington, D.C. December 11, 2007. RELATED PAPER
 The use of gametheoretic probability for probability judgment. Workshop on GameTheoretic Probability and Related Topics, Department of Mathematical Informatics, University of Tokyo. February 28, 2008.
 Gametheoretic probability and defensive forecasting. Japan Statistical Society, Tokyo. March 1, 2008.
 Gametheoretic probability. Rutgers Experimental Mathematics Seminar, New Brunswick, New Jersey. March 6, 2006.
 Gametheoretic probability. Decision Sciences Research Seminar, INSEAD, Fontainebleau, France. April 11, 2008.
 Was Jean Ville a statistician? Royal Statistical Society North Eastern Local Group, Durham, England. May 8, 2008.
 Putting online prediction online. Workshop on Principles and Methods of Statistical Inference with Interval Probability. Department of Mathematical Sciences, Durham, England. May 12, 2008.
 Gametheoretic probability. Applied Mathematics Colloquium, Columbia University. May 20, 2008.
 Why was Jean Ville's work on gametheoretic probability forgotten? NAFIPS 2008, New York. May 21, 2008.
 Gametheoretic probability. SIPTA School 08. Montpellier, France. July 8, 2008.
 Gametheoretic probability and its applications. Microsoft Research, Redmond, Washington. October 15, 2008.
 Cournot’s principle: A unifying interpretation of probability. Prague International Colloquium on Foundations of Uncertainty: Probability and Its Rivals. September 2, 2009.
 Three betting interpretations of probability. Department of Statistics, University of North Carolina, Chapel Hill. October 26, 2009
 The meaning of independence in DempsterShafer theory. Department of Statistics, Purdue University. November 5, 2009.
 Gametheoretic probability and its applications. Subjective Bayes Workshop, Center for Research in Statistical Methodology, University of Warwick. December 14, 2009.
 A betting interpretation for probabilities and DempsterShafer degrees of belief. Workshop on the Theory of Belief Functions. Ecole Nationale Supérieure d’Ingénieurs, Brest. April 2, 2010.
 Betting interpretations of probability. Third Workshop on GameTheoretic Probability and Related Topics. Computer Learning Research Centre, Royal Holloway University of London. June 21, 2010.
 Gametheoretic probability and its applications. PIMS Distinguished Seminar Series in Bayesian Methodologies. Departments of Computer Science, University of Saskatchewan and University of Regina. September 23, 2010.
 Is everything stochastic? Cournot Centre for Economic Studies, Paris. October 13, 2010.
 The implications of defensive forecasting for probability judgement. Probabilités juridiques et statistiques judiciaires. Université de FrancheComté, Besançon. October 14, 2010.
 Interpreting gametheoretic probability. Philosophy of Science Association, Montreal. November 6, 2010.
 Basics and interpretation of gametheoretic probability. Keynote to Fourth Workshop on GameTheoretic Probability and Related Topics, University of Tokyo. November 12, 2012.
 Testing with nonnegative martingales, measuretheoretically and gametheoretically. Department of Statistics, University of Michigan, February 1, 2013, and Center for Research in Mathematics, Guanajuato, Mexico, March 21, 2013.
 Introduction to gametheoretic probability. Keynote to Workshop on Games and Decisions, Centro de Ricerca Matematica Ennio De Giorgi, Scuola Normale Superiore, Pisa, Italy. July 8, 2013.
 The eternal debate between Bernoulli and Leibniz. Keynote to 29th European Meeting of Statisticians, Budapest, Hungary. July 21, 2013.
 Introduction to the Fifth Workshop on GameTheoretic Probability and Related Topics. Centro de Investigación en Matemáticas, Guanajuato, Mexico. November 13, 2014.
 Gametheoretic prediction without exogenous probabilities. Distinguished Lecture on Complex Systems. Sandia National Laboratories. Albuquerque, New Mexico. September 1, 2015.
 Gametheoretic prediction without exogenous probabilities. Department of Electrical and Computer Engineering, Temple University. September 23, 2015.
 Whither Kiyosi Itô’s reconciliation of Lévy (betting) and Doob (measure)? Keynote for the Cournot Center’s Conference celebrating the centennial of the birth of Kiyosi Itô: KIYOSI ITÔ’S LEGACY FROM A FRANCOJAPANESE PERSPECTIVE, French Embassy, Tokyo, November 26, 2015.
 Munich lectures on GameTheoretic Probability. Ten lectures, given at the Munich Center for Mathematical Philosophy, Ludwig Maximilian University of Munich, Germany. March 1521, 2016.
 The invention of random variables: concept and name. Workshop on History of Statistics, Department of Statistics, Ludwig Maximilian University of Munich, Germany. March 2223, 2016.
 Probability Judgement. MunichSydneyTilburg Conference 9: Evidence, Inference, and Risk. Munich Center for Mathematical Philosophy, Germany. March 31, 2016.
 What does "frequentist" mean? Workshop on Fusion Learning, BFF inferences and Statistical Foundations. Department of Statistics, Rutgers University  New Brunswick, New Jersey. April 11, 2016.
 How speculation can explain the equity premium. Department of Accounting and Information Systems. Rutgers Business School. October 14, 2016.
 How speculation can explain the equity premium. Department of Economics, Rutgers University  Newark. November 16, 2016.
 DempsterShafer is fiducial and so are you. Fourth Bayesian, Fiducial, and Frequentist Conference (BFF4), Department of Statistics, Harvard University. May 1, 2017.
 What is accomplished by successful nonstationary stochastic prediction? ICERM, Brown University. June 19, 2017.
 Three principles for using probability. School of Business, University of Kansas. October 20, 2017.
 Hypothesis Testing as a Game. Second Journal of Accounting, Auditing and Finance Symposium, Indian Institute of Management Ahmedabad. January 9, 2018.
 Hypothesis Testing as a Game. Department of Biostatistics, Columbia University Mailman School of Public Health. March 8, 2018.
 So Much Data. Have We Been Here Before? Banquet talk for the Fifth Bayesian, Fiducial, and Frequentist (BFF5) Conference: Foundations of Data Science, Ann Arbor, Michigan. May 7, 2018.
 Hypothesis Testing as a Game. Keynote, 17th International Conference on Information Processing and Management of Uncertainty in KnowledgeBased Systems, Cádiz (Spain), June 11, 2018
 When Data is a Science, Who Needs Probability? Banquet talk for the International Chinese Statistics Association’s 2018 Applied Statistics Symposium, New Brunswick, New Jersey. June 15, 2018.
 Hypothesis Testing as a Game. 12th International Vilnius Conference on Probability Theory and Mathematical Statistics and 2018 IMS Annual Meeting on Probability and Statistics, Vilnius, Lithuania. July 5, 2018.
 Pascal’s and Huygens’s gametheoretic foundations for probability. Sarton Lecture, School of Architecture and Engineering, University of Ghent. December 13, 2018.
 Gametheoretic statistics. Centrum Wiskunde & Informatica, Amsterdam. December 17, 2018.
 Reviving Pascal’s and Huygens’s gametheoretic foundations for probability. Department of Philosophy, University of Utrecht. December 19, 2018.
 The language of betting as a strategy for scientific communication. Rutgers Experimental Mathematics Seminar. February 14, 2019.
 The language of betting as a strategy for communicating statistical results. Rutgers Department of Statistics and Biostatistics. February 27, 2019.
 The language of betting as a strategy for communicating statistical and scientific results. Rutgers Foundations of Probability Seminar. March 4, 2019.
 Evidence and the language of betting. Computer Science Colloquium, CUNY Graduate Center. March 7, 2019.
 The language of betting as a strategy for scientific communication. LIP6, Université Pierre et Marie Curie. March 20, 2019.
 Pascal's and Huygens's gametheoretic foundations for probability. Teachers College, Columbia University. March 25, 2019.
 Let's replace pvalues with betting outcomes! 12th MuST and 3rd PSE: Statistical Reasoning and Scientific Error, Munich. July 1, 2019.
 Let's replace pvalues with betting outcomes! ISIPTA 2019, Ghent. July 4, 2019.
 Let's replace pvalues with betting outcomes! PROGIC 2019, Frankfurt. July 9, 2019.
 Let’s replace pvalues with betting scores. Association for Mathematics Applied to Social and Economic Sciences. Perugia, September 11, 2019.
 The 19th century origins of confidence intervals, significance tests, and phacking. Rutgers Foundations of Probability Seminar. March 4, 2019.
 The history of significance testing. College of Education, Florida State University, Tallahassee. December 6, 2019.
 Using game theory to reunify subjective and objective probability. Seminar in Logic, Games and Language, CUNY Graduate Center. December 13, 2019.
 Let’s replace pvalues with betting scores. 4th JAAF India Symposium, IIM Bangalore. January 12, 2020.
 Let’s replace pvalues with betting scores. Finance & Risk Engineering Lecture, NYU Tandon School of Engineering. April 2, 2020. YouTube video, as recorded by NYU Tandon School of Engineering as part of the Brooklyn Quant Experience (BQE) Lecture Series.


