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Anthony O'Hagan
Researcher at University of Sheffield
Publications - 133
Citations - 20453
Anthony O'Hagan is an academic researcher from University of Sheffield. The author has contributed to research in topics: Bayesian probability & Bayesian statistics. The author has an hindex of 55, co-authored 129 publications receiving 18220 citations. Previous affiliations of Anthony O'Hagan include Moorfields Eye Hospital & CSIRO Marine and Atmospheric Research.
Papers
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Journal ArticleDOI
Bayesian Calibration of computer models
Marc C. Kennedy,Anthony O'Hagan +1 more
TL;DR: A Bayesian calibration technique which improves on this traditional approach in two respects and attempts to correct for any inadequacy of the model which is revealed by a discrepancy between the observed data and the model predictions from even the best‐fitting parameter values is presented.
Book
Uncertain Judgements: Eliciting Experts' Probabilities
Anthony O'Hagan,Caitlin E. Buck,Alireza Daneshkhah,J. Richard Eiser,Paul H. Garthwaite,David J. Jenkinson,Jeremy E. Oakley,Tim Rakow +7 more
TL;DR: Uncertain Judgements introduces the area, before guiding the reader through the study of appropriate elicitation methods, illustrated by a variety of multi-disciplinary examples.
Journal ArticleDOI
Predicting the output from a complex computer code when fast approximations are available
Marc C. Kennedy,Anthony O'Hagan +1 more
TL;DR: The purpose of the current paper is to explore ways in which runs from several levels of a code can be used to make inference about the output from the most complex code.
Journal ArticleDOI
Probabilistic sensitivity analysis of complex models: a Bayesian approach
Jeremy E. Oakley,Anthony O'Hagan +1 more
TL;DR: In this article, the authors present a Bayesian framework which unifies the various tools of probabilistic sensitivity analysis, which allows effective sensitivity analysis to be achieved by using far smaller numbers of model runs than standard Monte Carlo methods.
Journal ArticleDOI
Statistical Methods for Eliciting Probability Distributions
TL;DR: Elicitation is a key task for subjectivist Bayesians as mentioned in this paper, and it brings statisticians closer to their clients and subject-matter expert colleagues, and thus brings them closer to themselves.