J. Wiart

Statistics and Probability · 2015

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 34 citations into it
• Computational Theory and Mathematics — 14 citations into it
• Civil and Structural Engineering — 13 citations into it
• Environmental Engineering — 10 citations into it
• Management Science and Operations Research — 10 citations into it
• Optimization & Training — 6 citations into it

Whom J. Wiart trusts overall

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

1. Géraud Blatman
2. Dongbin Xiu
3. Bruno Sudret
4. Robert Tibshirani
5. Michael S. Eldred
6. David E. Goldberg
7. Irfan Kaymaz
8. G. Em Karniadakis
9. Trevor J. Hastie
10. Xiaoliang Wan

Papers from J. Wiart's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
3. The Nature of Statistical Learning Theory
4. High-Order Collocation Methods for Differential Equations with Random Inputs (SIAM Journal on Scientific Computing)
5. Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure (SIAM Journal on Scientific Computing)
6. An adaptive multi-element generalized polynomial chaos method for stochastic differential equations
7. Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
8. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
9. Application Of Kriging Method To Structural Reliability Problems
10. The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Their papers

• Polynomial-Chaos-based Kriging (2015) — 327 citations