Jon C. Helton

Statistics and Probability · 1981–2009

A researcher in the Science corpus: 6 papers; trusts 20 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 43 citations into it; #4,546 of 12,932 by trust here, #1,420 by citations
• Management Science and Operations Research — 26 citations into it; #4,918 of 11,946 by trust here, #2,957 by citations
• Artificial Intelligence — 19 citations into it
• Computational Theory and Mathematics — 16 citations into it; #5,228 of 12,182 by trust here, #1,587 by citations
• Statistical and Nonlinear Physics — 7 citations into it

Whom Jon C. Helton trusts overall

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

1. Ilya M. Sobol
2. Andreas Griewank
3. H. Christopher Frey
4. Genyuan Li
5. William Oberkampf
6. Roger M. Cooke
7. Grace Wahba
8. Anthony OʼHagan
9. Jay D. Johnson
10. Jerome H. Friedman

Who trusts Jon C. Helton overall

1. Leslie R. Pendrill
2. Scott Ferson
3. J. Ross
4. Elmar Plischke
5. Enrico Zio
6. Francesca Campolongo
7. C. Storlie
8. Andrea Saltelli
9. V. Wakelam
10. Jan C. Thiele

Papers from Jon C. Helton's perspective

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

1. Spline Models for Observational Data
2. Regression Shrinkage and Selection via the Lasso
3. Smoothing noisy data with spline functions
4. Sensitivity Estimates for Nonlinear Mathematical Models
5. Identification and Review of Sensitivity Analysis Methods (Risk Analysis)
6. Evaluating derivatives - principles and techniques of algorithmic differentiation, Second Edition
7. Design and analysis of computer experiments
8. Random Forests
9. Smoothing Spline Anova Models
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
• An exploration of alternative approaches to the representation of uncertainty in model predictions (2003) — 414 citations
• Alternative representations of epistemic uncertainty (2004) — 304 citations
• Sensitivity in risk analyses with uncertain numbers. (2006) — 63 citations
• An Approach to Sensitivity Analysis of Computer Models: Part II - Ranking of Input Variables, Response Surface Validation, Distribution Effect and Technique Synopsis (1981)