William E. Becker

Statistics and Probability · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom William E. Becker trusts overall

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

  1. Andrea Saltelli
  2. Ilya M. Sobol

Papers from William E. Becker's perspective

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

  1. Probabilistic sensitivity analysis of complex models: a Bayesian approach
  2. Making best use of model evaluations to compute sensitivity indices
  3. Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
  4. The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
  5. ImageNet classification with deep convolutional neural networks
  6. Random Forests
  7. The Design and Analysis of Computer Experiments (Springer Series in Statistics)
  8. A Taxonomy of Global Optimization Methods Based on Response Surfaces
  9. Design and Modeling for Computer Experiments
  10. Measuring Statistical Dependence with Hilbert-Schmidt Norms

Their papers