A. Philip Dawid

According to our database, A. Philip Dawid authored at least 24 papers between 1990 and 2024.

Collaborative distances:

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

2024

What Is a Causal Graph?

A. Philip Dawid

Algorithms, March, 2024

2022

Glenn Shafer - A short biography.

John C. Aldrich, A. Philip Dawid, Thierry Denoeux, Prakash P. Shenoy, Vladimir Vovk

Int. J. Approx. Reason., 2022

Probability and statistics: Foundations and history. Special Issue in honor of Glenn Shafer.

John C. Aldrich, A. Philip Dawid, Thierry Denoeux, Prakash P. Shenoy, Vladimir Vovk

Int. J. Approx. Reason., 2022

The Tale Wags the DAG.

A. Philip Dawid

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

2020

On Learnability under General Stochastic Processes.

A. Philip Dawid, Ambuj Tewari

CoRR, 2020

2017

On individual risk.

A. Philip Dawid

Synth., 2017

2014

Bounding the Probability of Causation in Mediation Analysis.

A. Philip Dawid, R. Murtas, M. Musio

CoRR, 2014

2010

Sufficient covariates and linear propensity analysis.

Hui Guo, A. Philip Dawid

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Beware of the DAG!

A. Philip Dawid

Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview

A. Philip Dawid, Vanessa Didelez

CoRR, 2010

2008

Identifying Optimal Sequential Decisions.

A. Philip Dawid, Vanessa Didelez

Proceedings of the UAI 2008, 2008

2007

Probabilistic Networks and Expert Systems - Exact Computational Methods for Bayesian Networks.

Robert G. Cowell, A. Philip Dawid, Steffen L. Lauritzen, David J. Spiegelhalter

Information Science and Statistics, Springer, ISBN: 978-0-387-71823-1, 2007

2006

Direct and Indirect Effects of Sequential Treatments.

Vanessa Didelez, A. Philip Dawid, Sara Geneletti

Proceedings of the UAI '06, 2006

2005

Probability and Statistics in the Law.

A. Philip Dawid

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

2003

An object-oriented Bayesian network for estimating mutation rates.

A. Philip Dawid

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002

Game theory, maximum generalized entropy, minimum discrepancy, robust Bayes and Pythagoras.

Peter D. Grünwald, A. Philip Dawid

Proceedings of the 2002 IEEE Information Theory Workshop, 2002

2001

Separoids: A Mathematical Framework for Conditional Independence and Irrelevance.

A. Philip Dawid

Ann. Math. Artif. Intell., 2001

Some variations on variation independence..

A. Philip Dawid

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

1999

Discussion of the Papers by Rissanen and by Wallace and Dowe.

A. Philip Dawid

Comput. J., 1999

Conditional products: An alternative approach to conditional independence.

A. Philip Dawid, Milan Studený

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1994

Hybrid Propagation in Junction Trees.

A. Philip Dawid, Uffe Kjærulff, Steffen L. Lauritzen

Proceedings of the Advances in Intelligent Computing, 1994

1993

Sequential Model Criticism in Probabilistic Expert Systems.

Robert G. Cowell, A. Philip Dawid, David J. Spiegelhalter

IEEE Trans. Pattern Anal. Mach. Intell., 1993

1991

A Bayesian expert system for the analysis of an adverse drug reaction.

Robert G. Cowell, A. Philip Dawid, T. Hutchinson, David J. Spiegelhalter

Artif. Intell. Medicine, 1991

1990

Independence properties of directed markov fields.

Steffen L. Lauritzen, A. Philip Dawid, B. N. Larsen, Hanns-Georg Leimer

Networks, 1990