Jonathan Rougier
Statistics and Probability · with Goldstein · 2005–2009
A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 13 citations into it; #3,321 of 12,932 by trust here, #10,275 by citations
- Artificial Intelligence — 6 citations into it; #18,791 of 35,345 by trust here, #31,361 by citations
Whom Jonathan Rougier trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marc G. Genton
- Anthony OʼHagan
- Michael L. Goldstein
- Marc C. Kennedy
- Maria J. Bayarri
- Jeremy E. Oakley
- K. Chaloner
- Stefano Conti
- D. Higdon
- James O. Berger
Who trusts Jonathan Rougier overall
- Mauricio A Álvarez
- D. Higdon
- Maria J. Bayarri
- Lorenzo Rosasco
- Jenný Brynjarsdóttir
- Keith Beven
- J. McDonnell
- Neil D. Lawrence
- James O. Berger
- G. Xenakis
Papers from Jonathan Rougier's perspective
Ordered by how strongly the researchers Jonathan Rougier trusts endorse each paper. Same corpus, a different order for every researcher.
- Design and analysis of computer experiments
- Probabilistic sensitivity analysis of complex models: a Bayesian approach
- Bayesian calibration of computer models
- Uncertain Judgements: Eliciting Experts' Probabilities
- Computer Model Calibration Using High-Dimensional Output
- Computer model validation with functional output
- Bayesian emulation of complex multi-output and dynamic computer models
- Covariance Tapering for Interpolation of Large Spatial Datasets
- Quantification of modelling uncertainties in a large ensemble of climate change simulations (Nature)
- Reified Bayesian modelling and inference for physical systems
Their papers
- Efficient Emulators for Multivariate Deterministic Functions (2008) — 212 citations
- The retirement behaviour of the self-employed in Britain (2007) — 114 citations
- Reified Bayesian modelling and inference for physical systems (2009) — 171 citations
- Bayesian calibration of process-based forest models: bridging the gap between models and data. (2005) — 399 citations