Bertrand Iooss
Statistics and Probability · 2008–2021
A researcher in the Science corpus: 10 papers; trusts 30 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 122 citations into it; #4,894 of 12,932 by trust here, #2,919 by citations
- Computational Theory and Mathematics — 52 citations into it; #8,273 of 12,182 by trust here, #10,349 by citations
- Management Science and Operations Research — 42 citations into it
- Artificial Intelligence — 32 citations into it
- Civil and Structural Engineering — 22 citations into it
- Mechanics of Materials — 22 citations into it
- Numerical Analysis — 12 citations into it
- Economics and Econometrics — 9 citations into it
Whom Bertrand Iooss trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrea Saltelli
- Emanuele Borgonovo
- Ilya M. Sobol
- Eric R. Ziegel
- Jeremy E. Oakley
- Stefano Tarantola
- Anthony OʼHagan
- Sergei S. Kucherenko
- H. Christopher Frey
- Bruno Sudret
Who trusts Bertrand Iooss overall
- Fabrice Gamboa
- Saman Razavi
- Clara Grilo
- Loic Le Gratiet
- Thierry Klein
- Pierre-Alain Gremaud
- Amandine Marrel
- Anthony J. Jakeman
- N. Fajraoui
- Sarah Tan
Papers from Bertrand Iooss's perspective
Ordered by how strongly the researchers Bertrand Iooss trusts endorse each paper. Same corpus, a different order for every researcher.
- Probabilistic sensitivity analysis of complex models: a Bayesian approach
- The Design and Analysis of Computer Experiments (Springer Series in Statistics)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Random Forests
- ImageNet classification with deep convolutional neural networks
- Making best use of model evaluations to compute sensitivity indices
- Identification and Review of Sensitivity Analysis Methods (Risk Analysis)
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
- A Taxonomy of Global Optimization Methods Based on Response Surfaces
- The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
Their papers
- Calculations of Sobol indices for the Gaussian process metamodel (2008) — 371 citations
- A Review on Global Sensitivity Analysis Methods (2014) — 1,039 citations
- Controlled stratification for quantile estimation (2008) — 90 citations
- Global sensitivity analysis for a numerical model of radionuclide migration from the RRC “Kurchatov Institute” radwaste disposal site (2008) — 97 citations
- Derivative based global sensitivity measures (2014) — 126 citations
- SHAPLEY EFFECTS FOR SENSITIVITY ANALYSIS WITH CORRELATED INPUTS: COMPARISONS WITH SOBOL' INDICES, NUMERICAL ESTIMATION AND APPLICATIONS (2017) — 129 citations
- Basics and Trends in Sensitivity Analysis (2021) — 113 citations
- The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020) — 552 citations
- Poincaré inequalities on intervals – application to sensitivity analysis (2016) — 51 citations
- Density modification-based reliability sensitivity analysis (2012) — 68 citations