Glenn Shafer

Prakash P. Shenoy, Glenn Shafer: Valuation-Based Systems for Discrete Optimization. CoRR abs/1304.1121 (2013)

Prakash P. Shenoy, Glenn Shafer: An Axiomatic Framework for Bayesian and Belief-function Propagation. CoRR abs/1304.2374 (2013)

Paul R. Cohen, Glenn Shafer, Prakash P. Shenoy: Modifiable Combining Functions. CoRR abs/1304.2712 (2013)

Prakash P. Shenoy, Glenn Shafer, Khaled Mellouli: Propagation of Belief Functions: A Distributed Approach. CoRR abs/1304.3109 (2013)

Glenn Shafer: Probability Judgement in Artificial Intelligence. CoRR abs/1304.3429 (2013)

Glenn Shafer: A betting interpretation for probabilities and Dempster-Shafer degrees of belief. Int. J. Approx. Reasoning 52(2): 127-136 (2011)

Glenn Shafer, Vladimir Vovk, Roman Chychyla: How to Base Probability Theory on Perfect-Information Games. Bulletin of the EATCS 100: 115-148 (2010)

Glenn Shafer: A betting interpretation for probabilities and Dempster-Shafer degrees of belief. CoRR abs/1001.1653 (2010)

Vladimir Vovk, Glenn Shafer: The game-theoretic capital asset pricing model. Int. J. Approx. Reasoning 49(1): 175-197 (2008)

Tatsiana Levina, Glenn Shafer: Portfolio Selection and Online Learning. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16(4): 437-473 (2008)

Glenn Shafer, Vladimir Vovk: A Tutorial on Conformal Prediction. Journal of Machine Learning Research 9: 371-421 (2008)

Glenn Shafer: Non-Additive Probabilities in the Work of Bernoulli and Lambert. Classic Works of the Dempster-Shafer Theory of Belief Functions 2008: 117-182

Glenn Shafer: Allocations of Probability. Classic Works of the Dempster-Shafer Theory of Belief Functions 2008: 183-196

Glenn Shafer: Constructive Probability. Classic Works of the Dempster-Shafer Theory of Belief Functions 2008: 217-264

Glenn Shafer: Belief Functions and Parametric Models. Classic Works of the Dempster-Shafer Theory of Belief Functions 2008: 265-290

Glenn Shafer, Amos Tversky: Languages and Designs for Probability Judgment. Classic Works of the Dempster-Shafer Theory of Belief Functions 2008: 345-374

Glenn Shafer, Roger Logan: Implementing Dempster's Rule for Hierarchical Evidence. Classic Works of the Dempster-Shafer Theory of Belief Functions 2008: 449-476

Prakash P. Shenoy, Glenn Shafer: Axioms for Probability and Belief-Function Propagation. Classic Works of the Dempster-Shafer Theory of Belief Functions 2008: 499-528

Peter R. Gillett, Richard B. Scherl, Glenn Shafer: A probabilistic logic based on the acceptability of gambles. Int. J. Approx. Reasoning 44(3): 281-300 (2007)

Glenn Shafer: Game-theoretic probability and defensive forecasting. Winter Simulation Conference 2007: 272-280

Glenn Shafer, Vladimir Vovk: A tutorial on conformal prediction. CoRR abs/0706.3188 (2007)

Vladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer: Defensive Forecasting for Linear Protocols. ALT 2005: 459-473

Peter R. Gillett, Richard B. Scherl, Glenn Shafer: Basing Probabilistic Logic on Gambles. ISIPTA 2005: 173-182

Vladimir Vovk, Akimichi Takemura, Glenn Shafer: Defensive forecasting. CoRR abs/cs/0505083 (2005)

Vladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer: Defensive forecasting for linear protocols. CoRR abs/cs/0506007 (2005)

Glenn Shafer: Comments on "Constructing a logic of plausible inference: a guide to Cox's Theorem", by Kevin S. Van Horn. Int. J. Approx. Reasoning 35(1): 97-105 (2004)

Glenn Shafer, Peter R. Gillett, Richard B. Scherl: A new understanding of subjective probability and its generalization to lower and upper prevision. Int. J. Approx. Reasoning 33(1): 1-49 (2003)

Glenn Shafer, Peter R. Gillett, Richard B. Scherl: Subjective Probability and Lower and Upper Prevision: A New Understanding. ISIPTA 2003: 509-523

Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov: Self-calibrating Probability Forecasting. NIPS 2003

Glenn Shafer, Peter R. Gillett, Richard B. Scherl: The logic of events. Ann. Math. Artif. Intell. 28(1-4): 315-389 (2000)

Glenn Shafer: Causal Logic. ECAI 1998: 711-720

Richard B. Scherl, Glenn Shafer: A Logic of Action, Causality, and the Temporal Relations of Events. TIME 1998: 89-96

Glenn Shafer: Advances in the Understanding and Use of Conditional Independence. Ann. Math. Artif. Intell. 21(1): 1-11 (1997)

Glenn Shafer: The art of causal conjecture. MIT Press 1996, isbn 978-0-262-19368-9, pp. I-XX, 1-511

Glenn Shafer: Causal Relevance. Reasoning with Uncertainty in Robotics 1995: 187-208

Glenn Shafer: Philosophical Foundations for Causal Networks. IPMU 1994: 3-12

Glenn Shafer: Rejoinders to comments on "perspectives on the theory and practice of belief functions". Int. J. Approx. Reasoning 6(3): 445-480 (1992)

Glenn Shafer, Prakash P. Shenoy: Probability propagation. Ann. Math. Artif. Intell. 2: 327-351 (1990)

Glenn Shafer: Perspectives on the theory and practice of belief functions. Int. J. Approx. Reasoning 4(5-6): 323-362 (1990)

Glenn Shafer: Comments on An inquiry into computer understanding by Peter Cheeseman. Computational Intelligence 4: 121-124 (1988)

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

Prakash P. Shenoy, Glenn Shafer: Axioms for probability and belief-function proagation. UAI 1988: 169-198

Glenn Shafer, Roger Logan: Implementing Dempster's Rule for Hierarchical Evidence. Artif. Intell. 33(3): 271-298 (1987)

Glenn Shafer, Prakash P. Shenoy, Khaled Mellouli: Propagating belief functions in qualitative Markov trees. Int. J. Approx. Reasoning 1(4): 349-400 (1987)

Paul R. Cohen, Glenn Shafer, Prakash P. Shenoy: Modifiable Combining Functions. UAI 1987: 357-374

Khaled Mellouli, Glenn Shafer, Prakash P. Shenoy: Qualitative Markov networks. IPMU 1986: 69-74

Prakash P. Shenoy, Glenn Shafer, Khaled Mellouli: Propagation of belief functions: a distributed approach. UAI 1986: 325-336

Glenn Shafer, Amos Tversky: Languages and Designs for Probability Judgment. Cognitive Science 9(3): 309-339 (1985)

Glenn Shafer: Hierarchical Evidence. CAIA 1985: 16-21

Glenn Shafer: Probability Judgment in Artificial Intelligence. UAI 1985: 127-136