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- Jeremy E. Oakley, Anthony Oâ€™Hagan
- 2002

In many areas of science and technology, mathematical models are built to simulate complex real world phenomena. Such models are typically implemented in large computer programs and are also veryâ€¦ (More)

- Anthony O'Hagan, Jeremy E. Oakley
- Rel. Eng. & Sys. Safety
- 2004

The challenge problems set out in Oberkampf, Helton, Joslyn, Wojtkiewicz and Ferson (this issue), hereafter referred to as OHJWF, raise a variety of interesting questions. The background to thisâ€¦ (More)

- Jeremy E. Oakley, Alan Brennan, Paul Tappenden, Jim Chilcott
- Journal of health economics
- 2010

Partial expected value of perfect information (EVPI) quantifies the value of removing uncertainty about unknown parameters in a decision model. EVPIs can be computed via Monte Carlo methods. An outerâ€¦ (More)

- Jeremy E. Oakley
- 2003

A deterministic computer model is to be used in a situation where there is uncertainty about the values of some or all of the input parameters. This uncertainty induces uncertainty in the output ofâ€¦ (More)

- Mark Strong, Jeremy E. Oakley, Alan Brennan
- Medical decision making : an internationalâ€¦
- 2014

The partial expected value of perfect information (EVPI) quantifies the expected benefit of learning the values of uncertain parameters in a decision model. Partial EVPI is commonly estimated via aâ€¦ (More)

- Stefano Conti, John Paul Gosling, Jeremy E. Oakley, Anthony Oâ€™Hagan
- 2007

Abstract Computer codes are used widely in scientific research to study and predict the behaviour of complex systems. The run times of computationallyintensive computer codes are often such that theyâ€¦ (More)

- Mark Strong, Jeremy E. Oakley, Alan Brennan, Penny R Breeze
- Medical decision making : an internationalâ€¦
- 2015

Health economic decision-analytic models are used to estimate the expected net benefits of competing decision options. The true values of the input parameters of such models are rarely known withâ€¦ (More)

- Ioannis Andrianakis, Ian R. Vernon, +5 authors Richard G. White
- PLoS Computational Biology
- 2015

Advances in scientific computing have allowed the development of complex models that are being routinely applied to problems in disease epidemiology, public health and decision making. The utility ofâ€¦ (More)

- Tom Fricker, Jeremy E. Oakley, Nathan M. Urban
- 2010

An emulator is a statistical representation of an expensive computer model that gives fast probabilistic predictions of the output. This article concerns emulators for computer models with multipleâ€¦ (More)

- Jeremy E. Oakley
- Technometrics
- 2009

When a computer model is used to inform a decision, it is important to investigate any uncertainty in the model and determine how that uncertainty may impact on the decision. In Probabilisticâ€¦ (More)