Jeremy E. Oakley

Statistics and Probability · 2002–2020

A researcher in the Science corpus: 6 papers; trusts 3 researchers and is trusted by 60 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 12 citations into it; #908 of 12,932 by trust here, #1,781 by citations
• Artificial Intelligence — 8 citations into it; #9,218 of 35,345 by trust here, #19,018 by citations

Whom Jeremy E. Oakley trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Anthony OʼHagan
2. James O. Berger
3. Bernard Walter Silverman
4. Hans Wackernagel
5. Andrea Saltelli
6. A. P. Dawid
7. Michel Goulard
8. Stefano Tarantola
9. Alan E. Gelfand
10. Harris Drucker

Who trusts Jeremy E. Oakley overall

1. Anthony OʼHagan
2. Emanuele Borgonovo
3. Stefano Conti
4. Luigi Cavaleri
5. Jing Yang
6. Nicolai Meinshausen
7. Bertrand Iooss
8. Lindsay A. Lee
9. Julien Bect
10. Loic Le Gratiet

Papers from Jeremy E. Oakley's perspective

Ordered by how strongly the researchers Jeremy E. Oakley trusts endorse each paper. Same corpus, a different order for every researcher.

1. Sensitivity Analysis for Nonlinear Mathematical Models. Numerical ExperienceSensitivity Analysis for Nonlinear Mathematical Models. Numerical Experience
2. Design and analysis of computer experiments
3. Decision Analysis: Introductory Lectures on Choices under Uncertainty.
4. Efficient Emulators for Multivariate Deterministic Functions
5. Uncertain Judgements: Eliciting Experts' Probabilities
6. On the Relative Importance of Input Factors in Mathematical Models
7. Regression and Classification Using Gaussian Process Priors
8. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
9. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
10. An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

Their papers

• Probabilistic sensitivity analysis of complex models: a Bayesian approach (2004) — 1,148 citations
• Bayesian inference for the uncertainty distribution of computer model outputs (2002) — 380 citations
• Uncertainty in prior elicitations: a nonparametric approach (2007) — 95 citations
• Uncertain Judgements: Eliciting Experts' Probabilities (2006) — 1,514 citations
• Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds (2020) — 26 citations
• Probabilistic uncertainty analysis of an FRF of a structure using a Gaussian process emulator (2011) — 60 citations