Laura Painton Swiler

Statistics and Probability · 2001–2020

A researcher in the Science corpus: 12 papers; trusts 27 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 79 citations into it; #5,026 of 12,932 by trust here, #1,751 by citations
• Computational Theory and Mathematics — 40 citations into it; #4,328 of 12,182 by trust here, #1,500 by citations
• Management Science and Operations Research — 31 citations into it; #4,335 of 11,946 by trust here, #1,695 by citations
• Artificial Intelligence — 28 citations into it
• Atomic and Molecular Physics, and Optics — 13 citations into it; #3,617 of 7,135 by trust here, #2,705 by citations
• Materials Chemistry — 11 citations into it; #5,370 of 11,513 by trust here, #6,743 by citations
• Statistical Learning Theory — 10 citations into it
• Statistical and Nonlinear Physics — 10 citations into it; #9,568 of 10,127 by trust here, #8,564 by citations

Whom Laura Painton Swiler trusts overall

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

1. Jerome H. Friedman
2. Anthony OʼHagan
3. Grace Wahba
4. Robert Tibshirani
5. Eric R. Ziegel
6. W. Härdle
7. Chong Gu
8. William Oberkampf
9. Ron Kohavi
10. Saad T. Bakir

Who trusts Laura Painton Swiler overall

1. Peng Ning
2. Barbara Kordy
3. Oleg Sheyner
4. Steven Noel
5. Yuri Mishin
6. Bruno Sudret
7. Roland Schöbi
8. Ilyes Batatia
9. Evgeny V. Podryabinkin
10. William Oberkampf

Papers from Laura Painton Swiler's perspective

Ordered by how strongly the researchers Laura Painton Swiler 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. The Elements of Statistical Learning
4. Design and analysis of computer experiments
5. Random Forests
6. Greedy function approximation: A gradient boosting machine.
7. Smoothing Spline Anova Models
8. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
9. Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
10. A Framework for Validation of Computer Models (Technometrics)

Their papers

• Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials (2014) — 1,032 citations
• Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models (2009) — 367 citations
• Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008) — 1,133 citations
• Calibration, validation, and sensitivity analysis: What's what (2006) — 388 citations
• Computer-attack graph generation tool (2001) — 375 citations
• Dakota A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis: Version 6.14 Theory Manual. (2020) — 492 citations
• Sensitivity in risk analyses with uncertain numbers. (2006) — 63 citations
• High-throughput stochastic tensile performance of additively manufactured stainless steel (2017) — 151 citations
• Calibration and Uncertainty Analysis for Computer Simulations with Multivariate Output (2008) — 97 citations
• Confidence region estimation techniques for nonlinear regression in groundwater flow: Three case studies (2007) — 99 citations
• Multimodal Reliability Assessment for Complex Engineering Applications using Efficient Global Optimization (2007) — 57 citations
• The promise and peril of uncertainty quantification using response surface approximations (2005) — 85 citations