Cédric J. Sallaberry

Statistics and Probability · 2006–2009

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 26 citations into it; #5,632 of 12,932 by trust here, #1,989 by citations
• Management Science and Operations Research — 12 citations into it; #8,691 of 11,946 by trust here, #4,746 by citations
• Computational Theory and Mathematics — 9 citations into it; #4,903 of 12,182 by trust here, #1,587 by citations
• Artificial Intelligence — 7 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Cédric J. Sallaberry trusts overall

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

1. Grace Wahba
2. Anthony OʼHagan
3. Ilya M. Sobol
4. Jerome H. Friedman
5. Jon C. Helton
6. Robert Tibshirani
7. Chong Gu
8. Ron Kohavi
9. Saad T. Bakir
10. Andreas Griewank

Who trusts Cédric J. Sallaberry overall

1. Leslie R. Pendrill
2. Andrea Saltelli

Papers from Cédric J. Sallaberry's perspective

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

1. Spline Models for Observational Data
2. Smoothing noisy data with spline functions
3. Regression Shrinkage and Selection via the Lasso
4. Smoothing Spline Anova Models
5. Design and analysis of computer experiments
6. Random Forests
7. Greedy function approximation: A gradient boosting machine.
8. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
9. The Strength of Weak Learnability
10. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code

Their papers

• Survey of sampling-based methods for uncertainty and sensitivity analysis (2006) — 1,277 citations
• Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models (2009) — 367 citations