Sergei S. Kucherenko
Statistics and Probability · 2005–2015
A researcher in the Science corpus: 8 papers; trusts 18 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 32 citations into it; #2,676 of 12,932 by trust here, #1,781 by citations
- Computational Theory and Mathematics — 12 citations into it; #9,790 of 12,182 by trust here, #8,294 by citations
- Mechanics of Materials — 10 citations into it; #882 of 6,291 by trust here, #1,452 by citations
- Numerical Analysis — 9 citations into it; #619 of 3,586 by trust here, #917 by citations
- Civil and Structural Engineering — 6 citations into it; #2,733 of 6,160 by trust here, #1,863 by citations
- Finance — 6 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Sergei S. Kucherenko trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya M. Sobol
- Andrea Saltelli
- Michael L. Stein
- Davood Shahsavani
- Paul Glasserman
- Umberto Cherubini
- Ruichen Jin
- Ruixue Liu
- Stefano Tarantola
- Stephen Joe
Who trusts Sergei S. Kucherenko overall
- Bertrand Iooss
- Andrea Saltelli
- Clémentine Prieur
- Jon Herman
- Francesca Campolongo
- Francesca Pianosi
- Bryan A. Eisenhower
- Joel Vaughan
- Suchismita Sarangi
- Sharif Rahman
Papers from Sergei S. Kucherenko's perspective
Ordered by how strongly the researchers Sergei S. Kucherenko trusts endorse each paper. Same corpus, a different order for every researcher.
- On the distribution of points in a cube and the approximate evaluation of integrals
- Random number generation and Quasi-Monte Carlo methods
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
- Design and Modeling for Computer Experiments
- A generalized discrepancy and quadrature error bound
- Monte Carlo Methods in Financial Engineering
- Large sample properties of simulations using latin hypercube sampling
- Monte Carlo methods in finance
- Remark on algorithm 659: Implementing Sobol's quasirandom sequence generator (TOMS)
- Variance-based sensitivity analysis of model outputs using surrogate models (Environmental Modelling & Software)
Their papers
- Derivative based global sensitivity measures and their link with global sensitivity indices (2009) — 459 citations
- Estimating the approximation error when fixing unessential factors in global sensitivity analysis (2007) — 389 citations
- Global sensitivity indices for nonlinear mathematical models. Review (2005) — 151 citations
- Construction and Comparison of High-Dimensional Sobol' Generators (2011) — 208 citations
- Estimation of global sensitivity indices for models with dependent variables (2012) — 337 citations
- Derivative based global sensitivity measures (2014) — 126 citations
- Exploring multi-dimensional spaces: a Comparison of Latin Hypercube and Quasi Monte Carlo Sampling Techniques (2015) — 131 citations
- Global Sensitivity Analysis Challenges in Biological Systems Modeling (2009) — 144 citations