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Jeremy Oakley
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Uncertain judgements: eliciting experts' probabilities
A O'Hagan, CE Buck, A Daneshkhah, JR Eiser, PH Garthwaite, ...
John Wiley & Sons, 2006
20802006
Probabilistic sensitivity analysis of complex models: a Bayesian approach
JE Oakley, A O'Hagan
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2004
13452004
Bayesian inference for the uncertainty distribution of computer model outputs
J Oakley, A O'hagan
Biometrika 89 (4), 769-784, 2002
4462002
A systematic review and economic evaluation of alendronate, etidronate, risedronate, raloxifene and teriparatide for the prevention and treatment of postmenopausal osteoporosis.
M Stevenson, ML Jones, E De Nigris, N Brewer, S Davis, J Oakley
Health technology assessment (Winchester, England) 9 (22), 1-160, 2005
3502005
Probability is perfect, but we can't elicit it perfectly
A O'Hagan, JE Oakley
Reliability Engineering & System Safety 85 (1-3), 239-248, 2004
3362004
Estimating multiparameter partial expected value of perfect information from a probabilistic sensitivity analysis sample: a nonparametric regression approach
M Strong, JE Oakley, A Brennan
Medical Decision Making 34 (3), 311-326, 2014
2682014
Gaussian process emulation of dynamic computer codes
S Conti, JP Gosling, JE Oakley, A O'Hagan
Biometrika 96 (3), 663-676, 2009
2422009
A web-based tool for eliciting probability distributions from experts
DE Morris, JE Oakley, JA Crowe
Environmental Modelling & Software 52, 1-4, 2014
2202014
Multivariate Gaussian process emulators with nonseparable covariance structures
TE Fricker, JE Oakley, NM Urban
Technometrics 55 (1), 47-56, 2013
1972013
Bayesian history matching of complex infectious disease models using emulation: a tutorial and a case study on HIV in Uganda
I Andrianakis, IR Vernon, N McCreesh, TJ McKinley, JE Oakley, ...
PLoS computational biology 11 (1), e1003968, 2015
1762015
Uncertainty analysis and other inference tools for complex computer codes
A O'Hagan, MC Kennedy, JE Oakley
1641998
SHELF: the Sheffield elicitation framework (version 2.0)
JE Oakley, A O’Hagan
Sheffield, UK: School of Mathematics and Statistics, University of Sheffield 560, 2010
1402010
Estimating the expected value of sample information using the probabilistic sensitivity analysis sample: a fast, nonparametric regression-based method
M Strong, JE Oakley, A Brennan, P Breeze
Medical Decision Making 35 (5), 570-583, 2015
1292015
Estimating percentiles of uncertain computer code outputs
J Oakley
Journal of the Royal Statistical Society Series C: Applied Statistics 53 (1 …, 2004
1142004
Managing structural uncertainty in health economic decision models: a discrepancy approach
M Strong, JE Oakley, J Chilcott
Journal of the Royal Statistical Society Series C: Applied Statistics 61 (1 …, 2012
1072012
Uncertainty in prior elicitations: a nonparametric approach
JE Oakley, A O'Hagan
Biometrika 94 (2), 427-441, 2007
1022007
Methods for expected value of information analysis in complex health economic models: developments on the health economics of interferon-beta and glatiramer acetate for …
P Tappenden, JB Chilcott, S Eggington, J Oakley, C McCabe
Health technology assessment (Winchester, England) 8 (27), iii, 1-78, 2004
982004
Gaussian process modeling in conjunction with individual patient simulation modeling: a case study describing the calculation of cost-effectiveness ratios for the treatment of …
MD Stevenson, J Oakley, JB Chilcott
Medical Decision Making 24 (1), 89-100, 2004
902004
Eliciting Gaussian process priors for complex computer codes
J Oakley
Journal of the Royal Statistical Society Series D: The Statistician 51 (1 …, 2002
802002
Approximate Bayesian computation and simulation-based inference for complex stochastic epidemic models
TJ McKinley, I Vernon, I Andrianakis, N McCreesh, JE Oakley, ...
782018
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Artículos 1–20