Probability is perfect, but we can't elicit it perfectly. - Anthony O'Hagan; Jeremy E. Oakley (Reliab. Eng. Syst. Saf., 2004)

Description of an individual patient methodology for calculating the cost-effectiveness of treatments for osteoporosis in women. - M. D. Stevenson; J. E. Brazier; N. W. Calvert; M. Lloyd-Jones; Jeremy E. Oakley; J. A. Kanis (J. Oper. Res. Soc., 2005)

The cost-effectiveness of surgical instrument management policies to reduce the risk of vCJD transmission to humans. - M. D. Stevenson; Jeremy E. Oakley; Stephen E. Chick; K. Chalkidou (J. Oper. Res. Soc., 2009)

Decision-Theoretic Sensitivity Analysis for Complex Computer Models. - Jeremy E. Oakley (Technometrics, 2009)

Multivariate Gaussian Process Emulators With Nonseparable Covariance Structures. - Thomas E. Fricker; Jeremy E. Oakley; Nathan M. Urban (Technometrics, 2013)

A web-based tool for eliciting probability distributions from experts. - David E. Morris; Jeremy E. Oakley; John A. Crowe (Environ. Model. Softw., 2014)

When Is a Model Good Enough? Deriving the Expected Value of Model Improvement via Specifying Internal Model Discrepancies. - Mark Strong; Jeremy E. Oakley (SIAM/ASA J. Uncertain. Quantification, 2014)

Bayesian History Matching of Complex Infectious Disease Models Using Emulation: A Tutorial and a Case Study on HIV in Uganda. - Ioannis Andrianakis; Ian R. Vernon; Nicky McCreesh; Trevelyan J. McKinley; Jeremy E. Oakley; Rebecca N. Nsubuga; Michael Goldstein; Richard G. White (PLoS Comput. Biol., 2015)

Efficient History Matching of a High Dimensional Individual-Based HIV Transmission Model. - Ioannis Andrianakis; Nicky McCreesh; Ian R. Vernon; Trevelyan J. McKinley; Jeremy E. Oakley; Rebecca N. Nsubuga; Michael Goldstein; Richard G. White (SIAM/ASA J. Uncertain. Quantification, 2017)

Calibration of Stochastic Computer Simulators Using Likelihood Emulation. - Jeremy E. Oakley; Benjamin D. Youngman (Technometrics, 2017)

An Algorithm to Sample an Anatomy With Uncertainty. - Cesare Corrado; Steven Williams 001; Iain Sim; Sam Coveney; Mark D. O'Neill; Richard Wilkinson; Jeremy E. Oakley; Richard H. Clayton; Steven A. Niederer (CinC, 2018)

Component-level study of a decomposition-based multi-objective optimizer on a limited evaluation budget. - Oliver P. H. Jones; Jeremy E. Oakley; Robin C. Purshouse (GECCO, 2018)

Toward a unified framework for model calibration and optimisation in virtual engineering workflows. - Oliver P. H. Jones; Jeremy E. Oakley; Robin C. Purshouse (SMC, 2019)

Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity. - Sam Coveney; Cesare Corrado; Caroline H. Roney; Daniel O'Hare; Steven E. Williams; Mark D. O'Neill; Steven A. Niederer; Richard H. Clayton; Jeremy E. Oakley; Richard D. Wilkinson (CoRR, 2020)

Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions. - Cesare Corrado; Orod Razeghi; Caroline H. Roney; Sam Coveney; Steven Williams 001; Iain Sim; Mark D. O'Neill; Richard Wilkinson; Jeremy E. Oakley; Richard H. Clayton; Steven A. Niederer (Medical Image Anal., 2020)

Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds. - Sam Coveney; Richard H. Clayton; Cesare Corrado; Caroline H. Roney; Richard Wilkinson; Jeremy E. Oakley; Finn Lindgren; Steven E. Williams; Mark D. O'Neill; Steven A. Niederer (IEEE Trans. Biomed. Eng., 2020)

Simulation-based engineering design: solving parameter inference and multi-objective optimization problems on a shared simulation budget. - Oliver P. H. Jones; Jeremy E. Oakley; Robin C. Purshouse (SMC, 2021)

A Workflow for Probabilistic Calibration of Models of Left Atrial Electrophysiology. - Sam Coveney; Cesare Corrado; Caroline H. Roney; Richard D. Wilkinson; Jeremy E. Oakley; Steven A. Niederer; Richard H. Clayton (CinC, 2022)