| <o:p> Honorary/Visiting Positions<o:p> Statistical Laboratory, University of Cambridge Darwin College Cambridge
Department of Statistical Science, University College London Research<o:p> Research interests and selected publications Prequential Analysis
Evidence Dialogues <o:p> <o:p> Full Publication List Research Reports (University College London)
Probabilistic Networks and Expert Systems
by R. G. Cowell, A. P. Dawid, S. L. Lauritzen and D. J. Spiegelhalter
(2001 DeGroot Prize Winner) Simplicity, Complexity and Modelling edited by Mike Christie, Andrew Cliffe, Philip Dawid and Stephen Senn Evidence, Inference and Enquiry
edited by Philip Dawid, William Twining, and Mimi Vasilaki
Causality: Statistical Perspectives and Applications
edited by Carlo Berzuini, Philip Dawid and Luisa Bernardinelli
Beauty
edited by Lauren Arrington, Zo��� Leinhardt and Philip Dawid
Presentations
<o:p> Prequential Analysis (NIPS 2008 Tutorial)
Part A Part B
Causal Inference from Experimental Data (30th R A Fisher Memorial Lecture)
An Introduction to Bayesian Networks
Bruno de Finetti's Objectivity (de Finetti Lecture, ISBA 2018)
Causal Inference Isn't What You Think It Is (slides)
What is a Causal Graph?
Interview with Philip Dawid (Online Causal Inference Seminar 2023)
More at videolectures.net | 
