Will Usher
Statistics and Probability · 2017
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 8 citations into it
Whom Will Usher trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrea Saltelli
- Ilya M. Sobol
- Davood Shahsavani
- Francesca Campolongo
- Emanuele Borgonovo
- Sergei S. Kucherenko
- Anders Grimvall
Who trusts Will Usher overall
Papers from Will Usher's perspective
Ordered by how strongly the researchers Will Usher trusts endorse each paper. Same corpus, a different order for every researcher.
- Making best use of model evaluations to compute sensitivity indices
- An effective screening design for sensitivity analysis of large models (Environmental Modelling & Software)
- Variance-based sensitivity analysis of model outputs using surrogate models (Environmental Modelling & Software)
- Derivative based global sensitivity measures and their link with global sensitivity indices (Mathematics and Computers in Simulation)
- A new uncertainty importance measure (Reliability Engineering & System Safety)
- Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (Computer Physics Communications)
- Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
- Global Sensitivity Analysis: The Primer
- Global sensitivity measures from given data (European Journal of Operational Research)
- On the distribution of points in a cube and the approximate evaluation of integrals
Their papers
- SALib: An open-source Python library for Sensitivity Analysis (2017) — 1,329 citations