|
Honorary/Visiting
Positions
Statistical Laboratory,
University of Cambridge
Darwin College Cambridge
Department of
Statistical Science, University College London
Research
Research
interests and selected publications
Prequential
Analysis
Evidence Dialogues
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
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
|
