H. Wan

Statistics and Probability · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Wan trusts overall

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

  1. Wei Gao
  2. George Stefanou
  3. Géraud Blatman
  4. Bruno Sudret
  5. Roger G. Ghanem
  6. David Moens
  7. Luc Bauwens
  8. Jason L. Loeppky
  9. Su-huan Chen
  10. Dirk Vandepitte

Papers from H. Wan's perspective

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

  1. The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
  2. Global sensitivity analysis using polynomial chaos expansions (Reliability Engineering & System Safety)
  3. Adaptive sparse polynomial chaos expansion based on least angle regression (Journal of Computational Physics)
  4. An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis
  5. Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion (Reliability Engineering & System Safety)
  6. Polynomial chaos expansion for sensitivity analysis (Reliability Engineering & System Safety)
  7. Survey of sampling-based methods for uncertainty and sensitivity analysis (Reliability Engineering & System Safety)
  8. Computational procedure for a fast calculation of eigenvectors and eigenvalues of structures with random properties
  9. Extended Polynomial Dimensional Decomposition for Arbitrary Probability Distributions
  10. Global Sensitivity Analysis: The Primer

Their papers