O. Roustant

Statistics and Probability · 2008–2016

A researcher in the Science corpus: 6 papers; trusts 14 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 36 citations into it; #8,617 of 12,932 by trust here, #3,255 by citations
• Computational Theory and Mathematics — 34 citations into it; #6,031 of 12,182 by trust here, #2,629 by citations
• Management Science and Operations Research — 27 citations into it; #7,447 of 11,946 by trust here, #3,825 by citations
• Artificial Intelligence — 15 citations into it; #25,024 of 35,345 by trust here, #20,377 by citations

Whom O. Roustant trusts overall

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

1. Edzer J. Pebesma
2. Donald R. Jones
3. Jasjeet S. Sekhon
4. William N. Venables
5. S. Lophaven
6. Anthony OʼHagan
7. Jeremy E. Oakley
8. B. D. Ripley
9. Walter R. Mebane Jr.
10. Ilya M. Sobol

Who trusts O. Roustant overall

1. Ruben Martinez-Cantin
2. Marc Claesen
3. Loic Le Gratiet
4. Victor Picheny
5. Lindsay A. Lee
6. Bernd Bischl
7. Peter I. Frazier
8. Andrew Gordon Wilson
9. David Ginsbourger
10. Bertrand Iooss

Papers from O. Roustant's perspective

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

1. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
2. Efficient Global Optimization of Expensive Black-Box Functions
3. Probabilistic sensitivity analysis of complex models: a Bayesian approach
4. A Taxonomy of Global Optimization Methods Based on Response Surfaces
5. 5. Statistics for Spatial Data
6. Sensitivity Analysis for Nonlinear Mathematical Models. Numerical ExperienceSensitivity Analysis for Nonlinear Mathematical Models. Numerical Experience
7. Modern Applied Statistics With S
8. Global sensitivity analysis using polynomial chaos expansions (Reliability Engineering & System Safety)
9. Calculations of Sobol indices for the Gaussian process metamodel (Reliability Engineering & System Safety)
10. Design and analysis of computer experiments

Their papers

• Additive Kernels for Gaussian Process Modeling (2011) — 28 citations
• ANOVA kernels and RKHS of zero mean functions for model-based sensitivity analysis (2011) — 90 citations
• Calculations of Sobol indices for the Gaussian process metamodel (2008) — 371 citations
• DiceKriging, DiceOptim: Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012) — 664 citations
• Adaptive Designs of Experiments for Accurate Approximation of a Target Region (2010) — 330 citations
• Poincaré inequalities on intervals – application to sensitivity analysis (2016) — 51 citations