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Faculty of Mathematics

 

Research Interests: Foundations of probability and statistics; evidential reasoning; causal inference; graphical models; forecasting systems; DNA profiling.

Publications

Inferences from multinomial data: Learning about a bag of marbles - Discussion
A OHagan, CAB Smith, C Jennison, GA Barnard, AN Bisson, N Wilson, C Palmer, D Spiegelhalter, N Best, AP Dawid, CJ Geyer, M Aitkin, MS Bartlett, PJ Brown, C Chatfield, FPA Coolen, DR Cox, S Geisser, M Golstein, IJ Good, F Hampel, JL Hutton, HE Kyburg, I Levi, DV Lindley et al.
– JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL
(1996)
58,
34
Markov random field priors for univariate density estimation
RL Wolpert, M Lavine
(1996)
29,
253
Bayesian statistics. 5
(1996)
xii+813
A comparison of sequential learning methods for incomplete data
RG Cowell, AP Dawid, P Sebastiani
(1996)
533
Coherent combination of experts' opinions
AP Dawid, MH DeGroot, J Mortera, R Cooke, S French, C Genest, MJ Schervish, DV Lindley, KJ McConway, RL Winkler
– Test
(1995)
4,
263
Causal diagrams for empirical research - Discussion
AP Dawid
– BIOMETRIKA
(1995)
82,
689
Hyper Markov laws in the statistical analysis of decomposable graphical models (vol 21, pg 1272, 1993)
AP Dawid, SL Lauritzen
– The Annals of Statistics
(1995)
23,
1864
The roles of conditioning in inference - Inference based on estimating functions in the presence of nuisance parameters - Comments and rejoinders
VP Godambe
– Statistical Science
(1995)
10,
173
Correction: “Hyper-Markov laws in the statistical analysis of decomposable graphical models” [Ann.$ Statist. \bf 21 (1993), no. 3, 1272–1317; MR1241267 (95c:62015)]
AP Dawid, SL Lauritzen
– The Annals of Statistics
(1995)
23,
1864
Hybrid propagation in junction trees
AP Dawid, U Kjaerulff, SL Lauritzen
– ADVANCES IN INTELLIGENT COMPUTING - IPMU '94
(1995)
945,
87
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Research Groups

DPMMS retired
Statistical Laboratory
Statistics