Independence properties of directed markov fields. - Steffen L. Lauritzen; A. Philip Dawid; B. N. Larsen; Hanns-Georg Leimer (Networks, 1990)

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)

Sequential Model Criticism in Probabilistic Expert Systems. - Robert G. Cowell; A. Philip Dawid; David J. Spiegelhalter (IEEE Trans. Pattern Anal. Mach. Intell., 1993)

Hybrid Propagation in Junction Trees. - A. Philip Dawid; Uffe Kjærulff; Steffen L. Lauritzen (IPMU, 1994)

Conditional products: An alternative approach to conditional independence. - A. Philip Dawid; Milan Studený (AISTATS, 1999)

Discussion of the Papers by Rissanen and by Wallace and Dowe. - A. Philip Dawid (Comput. J., 1999)

Some variations on variation independence.. - A. Philip Dawid (AISTATS, 2001)

Separoids: A Mathematical Framework for Conditional Independence and Irrelevance. - A. Philip Dawid (Ann. Math. Artif. Intell., 2001)

Game theory, maximum generalized entropy, minimum discrepancy, robust Bayes and Pythagoras. - Peter D. Grünwald; A. Philip Dawid (ITW, 2002)

An object-oriented Bayesian network for estimating mutation rates. - A. Philip Dawid (AISTATS, 2003)

Probability and Statistics in the Law. - A. Philip Dawid (AISTATS, 2005)

Direct and Indirect Effects of Sequential Treatments. - Vanessa Didelez; A. Philip Dawid; Sara Geneletti (UAI, 2006)

Probabilistic Networks and Expert Systems - Exact Computational Methods for Bayesian Networks. - Robert G. Cowell; A. Philip Dawid; Steffen L. Lauritzen; David J. Spiegelhalter (Springer, 2007)

Identifying Optimal Sequential Decisions. - A. Philip Dawid; Vanessa Didelez (UAI, 2008)

Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview - A. Philip Dawid; Vanessa Didelez (CoRR, 2010)

Beware of the DAG! - A. Philip Dawid (NIPS Causality: Objectives and Assessment, 2010)

Sufficient covariates and linear propensity analysis. - Hui Guo; A. Philip Dawid (AISTATS, 2010)

Bounding the Probability of Causation in Mediation Analysis. - A. Philip Dawid; R. Murtas; M. Musio (CoRR, 2014)

On individual risk. - A. Philip Dawid (Synth., 2017)

On Learnability under General Stochastic Processes. - A. Philip Dawid; Ambuj Tewari (CoRR, 2020)

The Tale Wags the DAG. - A. Philip Dawid (Probabilistic and Causal Inference, 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)

Glenn Shafer - A short biography. - John C. Aldrich; A. Philip Dawid; Thierry Denoeux; Prakash P. Shenoy; Vladimir Vovk (Int. J. Approx. Reason., 2022)

What Is a Causal Graph? - A. Philip Dawid (Algorithms, 2024)