Glenn Shafer

According to our database, Glenn Shafer authored at least 64 papers between 1983 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

"So much data. Who needs probability?" Have we been here before?

Glenn Shafer

Int. J. Approx. Reason., 2022

Causal interpretation of graphical models.

Glenn Shafer

Int. J. Approx. Reason., 2022

The notion of event in probability and causality: Situating myself relative to Bruno de Finetti.

Glenn Shafer

Int. J. Approx. Reason., 2022

Game-theoretic statistics and safe anytime-valid inference.

Aaditya Ramdas, Peter Grünwald, Vladimir Vovk, Glenn Shafer

CoRR, 2022

2016

Constructive decision theory.

Glenn Shafer

Int. J. Approx. Reason., 2016

The problem of dependent evidence.

Glenn Shafer

Int. J. Approx. Reason., 2016

Dempster's rule of combination.

Glenn Shafer

Int. J. Approx. Reason., 2016

A Mathematical Theory of Evidence turns 40.

Glenn Shafer

Int. J. Approx. Reason., 2016

2014

Belief functions and uncertainty management in networks and telecommunication.

Abdelhamid Mellouk, Latifa Oukhellou, Lei Shu, Glenn Shafer

Ann. des Télécommunications, 2014

2013

Probability Judgement in Artificial Intelligence

Glenn Shafer

CoRR, 2013

An Axiomatic Framework for Bayesian and Belief-function Propagation

Prakash P. Shenoy, Glenn Shafer

CoRR, 2013

Valuation-Based Systems for Discrete Optimization

Prakash P. Shenoy, Glenn Shafer

CoRR, 2013

2011

A betting interpretation for probabilities and Dempster-Shafer degrees of belief.

Glenn Shafer

Int. J. Approx. Reason., 2011

2010

How to Base Probability Theory on Perfect-Information Games.

Glenn Shafer, Vladimir Vovk, Roman Chychyla

Bull. EATCS, 2010

2008

Belief-Function Formulas for Audit Risk.

Rajendra P. Srivastava, Glenn R. Shafer

Proceedings of the Classic Works of the Dempster-Shafer Theory of Belief Functions, 2008

Axioms for Probability and Belief-Function Propagation.

Prakash P. Shenoy, Glenn Shafer

Proceedings of the Classic Works of the Dempster-Shafer Theory of Belief Functions, 2008

Languages and Designs for Probability Judgment.

Glenn Shafer, Amos Tversky

Proceedings of the Classic Works of the Dempster-Shafer Theory of Belief Functions, 2008

Implementing Dempster's Rule for Hierarchical Evidence.

Glenn Shafer, Roger Logan

Proceedings of the Classic Works of the Dempster-Shafer Theory of Belief Functions, 2008

Belief Functions and Parametric Models.

Glenn Shafer

Proceedings of the Classic Works of the Dempster-Shafer Theory of Belief Functions, 2008

Constructive Probability.

Glenn Shafer

Proceedings of the Classic Works of the Dempster-Shafer Theory of Belief Functions, 2008

Allocations of Probability.

Glenn Shafer

Proceedings of the Classic Works of the Dempster-Shafer Theory of Belief Functions, 2008

Non-Additive Probabilities in the Work of Bernoulli and Lambert.

Glenn Shafer

Proceedings of the Classic Works of the Dempster-Shafer Theory of Belief Functions, 2008

A Tutorial on Conformal Prediction.

Glenn Shafer, Vladimir Vovk

J. Mach. Learn. Res., 2008

Portfolio Selection and Online Learning.

Tatsiana Levina, Glenn Shafer

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

The game-theoretic capital asset pricing model.

Vladimir Vovk, Glenn Shafer

Int. J. Approx. Reason., 2008

2007

A probabilistic logic based on the acceptability of gambles.

Peter R. Gillett, Richard B. Scherl, Glenn Shafer

Int. J. Approx. Reason., 2007

Game-theoretic probability and defensive forecasting.

Glenn Shafer

Proceedings of the Winter Simulation Conference, 2007

2005

Basing Probabilistic Logic on Gambles.

Peter R. Gillett, Richard B. Scherl, Glenn Shafer

Proceedings of the ISIPTA '05, 2005

Defensive Forecasting for Linear Protocols.

Vladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer

Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

Defensive Forecasting.

Vladimir Vovk, Akimichi Takemura, Glenn Shafer

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Comments on "Constructing a logic of plausible inference: a guide to Cox's Theorem", by Kevin S. Van Horn.

Glenn Shafer

Int. J. Approx. Reason., 2004

2003

Kolmogorov's Contributions to the Foundations of Probability.

V. G. Vovk, Glenn R. Shafer

Probl. Inf. Transm., 2003

A new understanding of subjective probability and its generalization to lower and upper prevision.

Glenn Shafer, Peter R. Gillett, Richard B. Scherl

Int. J. Approx. Reason., 2003

Self-calibrating Probability Forecasting.

Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Subjective Probability and Lower and Upper Prevision: A New Understanding.

Glenn Shafer, Peter R. Gillett, Richard B. Scherl

Proceedings of the ISIPTA '03, 2003

2000

The logic of events.

Glenn Shafer, Peter R. Gillett, Richard B. Scherl

Ann. Math. Artif. Intell., 2000

1998

A Logic of Action, Causality, and the Temporal Relations of Events.

Richard B. Scherl, Glenn Shafer

Proceedings of the 5th Workshop on Temporal Representation and Reasoning, 1998

Causal Logic.

Glenn Shafer

Proceedings of the 13th European Conference on Artificial Intelligence, 1998

1997

Advances in the Understanding and Use of Conditional Independence.

Glenn Shafer

Ann. Math. Artif. Intell., 1997

1996

Vanishing TETRAD Differences and Model Structure.

Glenn Shafer, Alexander Kogan, Peter Spirtes

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1996

The art of causal conjecture.

Glenn Shafer

MIT Press, ISBN: 978-0-262-19368-9, 1996

Probabilistic expert systems.

Glenn Shafer

CBMS-NSF regional conference series in applied mathematics 67, SIAM, ISBN: 978-0-89871-373-2, 1996

1995

Review essay.

Glenn Shafer

Synth., 1995

Propagating belief functions in AND-trees.

Rajendra P. Srivastava, Prakash P. Shenoy, Glenn R. Shafer

Int. J. Intell. Syst., 1995

Causal Relevance.

Glenn Shafer

Proceedings of the Reasoning with Uncertainty in Robotics, International Workshop, 1995

1994

Integrating statistical and nonstatistical audit evidence using belief functions: A case of variable sampling.

Rajendra P. Srivastava, Glenn R. Shafer

Int. J. Intell. Syst., 1994

Philosophical Foundations for Causal Networks.

Glenn Shafer

Proceedings of the Advances in Intelligent Computing, 1994

1992

Rejoinders to comments on "perspectives on the theory and practice of belief functions".

Glenn Shafer

Int. J. Approx. Reason., 1992

1990

Perspectives on the theory and practice of belief functions.

Glenn Shafer

Int. J. Approx. Reason., 1990

Probability propagation.

Glenn Shafer, Prakash P. Shenoy

Ann. Math. Artif. Intell., 1990

1988

Comments on An inquiry into computer understanding by Peter Cheeseman.

Glenn Shafer

Comput. Intell., 1988

Axioms for probability and belief-function proagation.

Prakash P. Shenoy, Glenn Shafer

Proceedings of the UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, 1988

Evidential Reasoning Using DELEF.

Debra K. Zarley, Yen-Teh Hsia, Glenn Shafer

Proceedings of the 7th National Conference on Artificial Intelligence, 1988

1987

Propagating belief functions in qualitative Markov trees.

Glenn Shafer, Prakash P. Shenoy, Khaled Mellouli

Int. J. Approx. Reason., 1987

Modifiable combining functions.

Paul R. Cohen, Glenn Shafer, Prakash P. Shenoy

Artif. Intell. Eng. Des. Anal. Manuf., 1987

Implementing Dempster's Rule for Hierarchical Evidence.

Glenn Shafer, Roger Logan

Artif. Intell., 1987

1986

The combination of evidence.

Glenn Shafer

Int. J. Intell. Syst., 1986

Propagating Belief Functions with Local Computations.

Prakash P. Shenoy, Glenn Shafer

IEEE Expert, 1986

Propagation of belief functions: a distributed approach.

Prakash P. Shenoy, Glenn Shafer, Khaled Mellouli

Proceedings of the UAI '86: Proceedings of the Second Annual Conference on Uncertainty in Artificial Intelligence, 1986

Qualitative Markov networks.

Khaled Mellouli, Glenn Shafer, Prakash P. Shenoy

Proceedings of the Uncertainty in Knowledge-Based Systems, 1986

1985

Languages and Designs for Probability Judgment.

Glenn Shafer, Amos Tversky

Cogn. Sci., 1985

Probability Judgment in Artificial Intelligence.

Glenn Shafer

Proceedings of the UAI '85: Proceedings of the First Annual Conference on Uncertainty in Artificial Intelligence, 1985

Hierarchical Evidence.

Glenn Shafer

Proceedings of the Artificial Intelligence Applications, 1985

1983

A subjective interpretation of conditional probability.

Glenn Shafer

J. Philos. Log., 1983