Glenn Shafer - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 56 from 56

2022

The notion of event in probability and causality: Situating myself relative to Bruno de FinettiGlenn Shafer. ijar, 141:171-178, 2022. [doi]

Causal interpretation of graphical modelsGlenn Shafer. ijar, 141:179-182, 2022. [doi]

"So much data. Who needs probability?" Have we been here before?Glenn Shafer. ijar, 141:183-189, 2022. [doi]

2016

Dempster's rule of combinationGlenn Shafer. ijar, 79:26-40, 2016. [doi]

Constructive decision theoryGlenn Shafer. ijar, 79:45-62, 2016. [doi]

A Mathematical Theory of Evidence turns 40Glenn Shafer. ijar, 79:7-25, 2016. [doi]

The problem of dependent evidenceGlenn Shafer. ijar, 79:41-44, 2016. [doi]

2014

Belief functions and uncertainty management in networks and telecommunicationAbdelhamid Mellouk, Latifa Oukhellou, Lei Shu, Glenn Shafer. adt, 69(3-4):131-133, 2014. [doi]

2010

How to Base Probability Theory on Perfect-Information GamesGlenn Shafer, Vladimir Vovk, Roman Chychyla. eatcs, 100:115-148, 2010.

2008

Portfolio Selection and Online LearningTatsiana Levina, Glenn Shafer. ijufks, 16(4):437-473, 2008. [doi]

Implementing Dempster s Rule for Hierarchical EvidenceGlenn Shafer, Roger Logan. In Ronald R. Yager, Liping Liu, editors, Classic Works of the Dempster-Shafer Theory of Belief Functions. Volume 219 of Studies in Fuzziness and Soft Computing, pages 449-476, Springer, 2008. [doi]

Non-Additive Probabilities in the Work of Bernoulli and LambertGlenn Shafer. In Ronald R. Yager, Liping Liu, editors, Classic Works of the Dempster-Shafer Theory of Belief Functions. Volume 219 of Studies in Fuzziness and Soft Computing, pages 117-182, Springer, 2008. [doi]

Belief Functions and Parametric ModelsGlenn Shafer. In Ronald R. Yager, Liping Liu, editors, Classic Works of the Dempster-Shafer Theory of Belief Functions. Volume 219 of Studies in Fuzziness and Soft Computing, pages 265-290, Springer, 2008. [doi]

Languages and Designs for Probability JudgmentGlenn Shafer, Amos Tversky. In Ronald R. Yager, Liping Liu, editors, Classic Works of the Dempster-Shafer Theory of Belief Functions. Volume 219 of Studies in Fuzziness and Soft Computing, pages 345-374, Springer, 2008. [doi]

Allocations of ProbabilityGlenn Shafer. In Ronald R. Yager, Liping Liu, editors, Classic Works of the Dempster-Shafer Theory of Belief Functions. Volume 219 of Studies in Fuzziness and Soft Computing, pages 183-196, Springer, 2008. [doi]

Constructive ProbabilityGlenn Shafer. In Ronald R. Yager, Liping Liu, editors, Classic Works of the Dempster-Shafer Theory of Belief Functions. Volume 219 of Studies in Fuzziness and Soft Computing, pages 217-264, Springer, 2008. [doi]

A Tutorial on Conformal PredictionGlenn Shafer, Vladimir Vovk. jmlr, 9:371-421, 2008. [doi]

Axioms for Probability and Belief-Function PropagationPrakash P. Shenoy, Glenn Shafer. In Ronald R. Yager, Liping Liu, editors, Classic Works of the Dempster-Shafer Theory of Belief Functions. Volume 219 of Studies in Fuzziness and Soft Computing, pages 499-528, Springer, 2008. [doi]

The game-theoretic capital asset pricing modelVladimir Vovk, Glenn Shafer. ijar, 49(1):175-197, 2008. [doi]

2007

A probabilistic logic based on the acceptability of gamblesPeter R. Gillett, Richard B. Scherl, Glenn Shafer. ijar, 44(3):281-300, 2007. [doi]

Game-theoretic probability and defensive forecastingGlenn Shafer. wsc 2007: 272-280 [doi]

2005

Basing Probabilistic Logic on GamblesPeter R. Gillett, Richard B. Scherl, Glenn Shafer. isipta 2005: 173-182

Defensive ForecastingVladimir Vovk, Akimichi Takemura, Glenn Shafer. aistats 2005: 365-372 [doi]

Defensive Forecasting for Linear ProtocolsVladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer. alt 2005: 459-473 [doi]

2004

Comments on Constructing a logic of plausible inference: a guide to Cox s Theorem , by Kevin S. Van HornGlenn Shafer. ijar, 35(1):97-105, 2004. [doi]

2003

Subjective Probability and Lower and Upper Prevision: A New UnderstandingGlenn Shafer, Peter R. Gillett, Richard B. Scherl. isipta 2003: 509-523 [doi]

A new understanding of subjective probability and its generalization to lower and upper previsionGlenn Shafer, Peter R. Gillett, Richard B. Scherl. ijar, 33(1):1-49, 2003. [doi]

Self-calibrating Probability ForecastingVladimir Vovk, Glenn Shafer, Ilia Nouretdinov. nips 2004: 1133-1140 [doi]

2000

The logic of eventsGlenn Shafer, Peter R. Gillett, Richard B. Scherl. AMAI, 28(1-4):315-389, 2000.

1998

A Logic of Action, Causality, and the Temporal Relations of EventsRichard B. Scherl, Glenn Shafer. time 1998: 89-96 [doi]

Causal LogicGlenn Shafer. ecai 1998: 711-720

1997

Advances in the Understanding and Use of Conditional IndependenceGlenn Shafer. AMAI, 21(1):1-11, 1997.

1996

The art of causal conjectureGlenn Shafer. MIT Press, 1996.

Probabilistic expert systemsGlenn Shafer. Volume 67 of CBMS-NSF regional conference series in applied mathematics, SIAM, 1996.

Vanishing TETRAD Differences and Model StructureGlenn Shafer, Alexander Kogan, Peter Spirtes. ijufks, 4(3):209-224, 1996. [doi]

1995

Causal RelevanceGlenn Shafer. rur 1996: 187-208

Review essayGlenn Shafer. synthese, 104(1):161-176, 1995. [doi]

1994

Philosophical Foundations for Causal NetworksGlenn Shafer. ipmu 1995: 3-12

1992

Rejoinders to comments on perspectives on the theory and practice of belief functions Glenn Shafer. ijar, 6(3):445-480, 1992. [doi]

1990

Perspectives on the theory and practice of belief functionsGlenn Shafer. ijar, 4(5-6):323-362, 1990. [doi]

Probability propagationGlenn Shafer, Prakash P. Shenoy. AMAI, 2:327-351, 1990.

1988

Comments on An inquiry into computer understanding by Peter CheesemanGlenn Shafer. ci, 4:121-124, 1988.

Axioms for probability and belief-function proagationPrakash P. Shenoy, Glenn Shafer. uai 1990: 169-198 [doi]

Evidential Reasoning Using DELEFDebra K. Zarley, Yen-Teh Hsia, Glenn Shafer. AAAI 1988: 205-209

1987

Modifiable Combining FunctionsPaul R. Cohen, Glenn Shafer, Prakash P. Shenoy. uai 1989: 357-374 [doi]

Modifiable combining functionsPaul R. Cohen, Glenn Shafer, Prakash P. Shenoy. aiedam, 1(1):47-57, 1987. [doi]

Implementing Dempster s Rule for Hierarchical EvidenceGlenn Shafer, Roger Logan. ai, 33(3):271-298, 1987.

Propagating belief functions in qualitative Markov treesGlenn Shafer, Prakash P. Shenoy, Khaled Mellouli. ijar, 1(4):349-400, 1987. [doi]

1986

1985

Hierarchical EvidenceGlenn Shafer. caia 1985: 16-21

Languages and Designs for Probability JudgmentGlenn Shafer, Amos Tversky. cogsci, 9(3):309-339, 1985.

Probability Judgment in Artificial IntelligenceGlenn Shafer. uai 1988: 127-136 [doi]

1983

A subjective interpretation of conditional probabilityGlenn Shafer. jphil, 12(4):453-466, 1983. [doi]

Sign in or sign up to see more results.

runs on WebDSL