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A. Philip Dawid
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- affiliation: University of Cambridge, UK
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2020 – today
- 2024
- [j9]A. Philip Dawid:
What Is a Causal Graph? Algorithms 17(3): 93 (2024) - 2022
- [j8]John C. Aldrich, A. Philip Dawid, Thierry Denoeux, Prakash P. Shenoy, Vladimir Vovk:
Probability and statistics: Foundations and history. Special Issue in honor of Glenn Shafer. Int. J. Approx. Reason. 141: 1-4 (2022) - [j7]John C. Aldrich, A. Philip Dawid, Thierry Denoeux, Prakash P. Shenoy, Vladimir Vovk:
Glenn Shafer - A short biography. Int. J. Approx. Reason. 141: 5-10 (2022) - [p1]A. Philip Dawid:
The Tale Wags the DAG. Probabilistic and Causal Inference 2022: 557-574 - 2020
- [i4]A. Philip Dawid, Ambuj Tewari:
On Learnability under General Stochastic Processes. CoRR abs/2005.07605 (2020)
2010 – 2019
- 2017
- [j6]A. Philip Dawid:
On individual risk. Synth. 194(9): 3445-3474 (2017) - 2014
- [i3]A. Philip Dawid, R. Murtas, M. Musio:
Bounding the Probability of Causation in Mediation Analysis. CoRR abs/1411.2636 (2014) - 2012
- [i2]A. Philip Dawid, Vanessa Didelez:
Identifying Optimal Sequential Decisions. CoRR abs/1206.3245 (2012) - 2010
- [c10]A. Philip Dawid:
Beware of the DAG! NIPS Causality: Objectives and Assessment 2010: 59-86 - [c9]Hui Guo, A. Philip Dawid:
Sufficient covariates and linear propensity analysis. AISTATS 2010: 281-288 - [i1]A. Philip Dawid, Vanessa Didelez:
Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview. CoRR abs/1010.3425 (2010)
2000 – 2009
- 2008
- [c8]A. Philip Dawid, Vanessa Didelez:
Identifying Optimal Sequential Decisions. UAI 2008: 113-120 - 2007
- [b1]Robert G. Cowell, A. Philip Dawid, Steffen L. Lauritzen, David J. Spiegelhalter:
Probabilistic Networks and Expert Systems - Exact Computational Methods for Bayesian Networks. Information Science and Statistics, Springer 2007, ISBN 978-0-387-71823-1, pp. I-XII, 1-321 - 2006
- [c7]Vanessa Didelez, A. Philip Dawid, Sara Geneletti:
Direct and Indirect Effects of Sequential Treatments. UAI 2006 - 2005
- [c6]A. Philip Dawid:
Probability and Statistics in the Law. AISTATS 2005: 89-95 - 2003
- [c5]A. Philip Dawid:
An object-oriented Bayesian network for estimating mutation rates. AISTATS 2003: 80-84 - 2002
- [c4]Peter D. Grünwald, A. Philip Dawid:
Game theory, maximum generalized entropy, minimum discrepancy, robust Bayes and Pythagoras. ITW 2002: 94-97 - 2001
- [j5]A. Philip Dawid:
Separoids: A Mathematical Framework for Conditional Independence and Irrelevance. Ann. Math. Artif. Intell. 32(1-4): 335-372 (2001) - [c3]A. Philip Dawid:
Some variations on variation independence.. AISTATS 2001: 83-86
1990 – 1999
- 1999
- [j4]A. Philip Dawid:
Discussion of the Papers by Rissanen and by Wallace and Dowe. Comput. J. 42(4): 323-326 (1999) - [c2]A. Philip Dawid, Milan Studený:
Conditional products: An alternative approach to conditional independence. AISTATS 1999 - 1994
- [c1]A. Philip Dawid, Uffe Kjærulff, Steffen L. Lauritzen:
Hybrid Propagation in Junction Trees. IPMU 1994: 87-97 - 1993
- [j3]Robert G. Cowell, A. Philip Dawid, David J. Spiegelhalter:
Sequential Model Criticism in Probabilistic Expert Systems. IEEE Trans. Pattern Anal. Mach. Intell. 15(3): 209-219 (1993) - 1991
- [j2]Robert G. Cowell, A. Philip Dawid, T. Hutchinson, David J. Spiegelhalter:
A Bayesian expert system for the analysis of an adverse drug reaction. Artif. Intell. Medicine 3(5): 257-270 (1991) - 1990
- [j1]Steffen L. Lauritzen, A. Philip Dawid, B. N. Larsen, Hanns-Georg Leimer:
Independence properties of directed markov fields. Networks 20(5): 491-505 (1990)
Coauthor Index
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