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A. P. Dawid
Researcher at University College London
Publications - 112
Citations - 10977
A. P. Dawid is an academic researcher from University College London. The author has contributed to research in topics: Inference & Bayesian inference. The author has an hindex of 45, co-authored 107 publications receiving 10215 citations. Previous affiliations of A. P. Dawid include University of Cambridge & Imperial College London.
Papers
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Journal ArticleDOI
Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm
A. P. Dawid,A. M. Skene +1 more
TL;DR: The EM algorithm is shown to provide a slow but sure way of obtaining maximum likelihood estimates of the parameters of interest in compiling a patient record.
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The Well-Calibrated Bayesian
TL;DR: In this article, the authors prove a theorem to the effect that a coherent Bayesian expects to be well calibrated, and consider its destructive implications for the theory of coherence, showing that a forecaster is well calibrated if, for example, of those events to which he assigns a probability 30 percent, the long-run proportion that actually occurs turns out to be 30 percent.
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Independence properties of directed markov fields
TL;DR: A criterion for conditional independence of two groups of variables given a third is given and named as the directed, global Markov property and it is argued that this criterion is easy to use, it is sharper than that given by Kiiveri, Speed, and Carlin and equivalent to that of Pearl.
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Hyper Markov Laws in the Statistical Analysis of Decomposable Graphical Models
A. P. Dawid,Steffen L. Lauritzen +1 more
TL;DR: In this article, a hyper Markov law is defined as a probability distribution over a set of probability measures on a multivariate space that is concentrated on the set of Markov probabilities over some decomposable graph, and satisfies certain conditional independence restrictions related to that graph.