William Oberkampf

Statistics and Probability · 2002–2011

A researcher in the Science corpus: 13 papers; trusts 41 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 84 citations into it; #2,162 of 12,932 by trust here, #1,091 by citations
• Artificial Intelligence — 36 citations into it
• Management Science and Operations Research — 32 citations into it; #6,688 of 11,946 by trust here, #3,572 by citations
• Computational Theory and Mathematics — 24 citations into it; #7,926 of 12,182 by trust here, #2,851 by citations
• Computational Mechanics — 23 citations into it; #3,807 of 10,001 by trust here, #2,942 by citations
• Control and Systems Engineering — 13 citations into it; #5,567 of 8,257 by trust here, #2,528 by citations
• Civil and Structural Engineering — 12 citations into it
• Environmental Engineering — 11 citations into it; #3,740 of 5,479 by trust here, #3,500 by citations

Whom William Oberkampf trusts overall

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

1. Mark Ainsworth
2. Scott Ferson
3. Charles F. Manski
4. Christopher J. Roy
5. T. Trucano
6. Marc C. Kennedy
7. J. Tinsley Oden
8. Ilya S. Molchanov
9. Anthony OʼHagan
10. Huaiyu Zhu

Who trusts William Oberkampf overall

1. Scott Ferson
2. Christopher J. Roy
3. Cor-Jacques Kat
4. Heng Xiao
5. Krzysztof J. Fidkowski
6. T. Trucano
7. B. Blocken
8. Yun Long
9. Jon C. Helton
10. Pieter Schalk Els

Papers from William Oberkampf's perspective

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

1. A Framework for Validation of Computer Models (Technometrics)
2. Bayesian calibration of computer models
3. Inference on Regressions with Interval Data on a Regressor or Outcome
4. Identification and Review of Sensitivity Analysis Methods (Risk Analysis)
5. Nonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data
6. Exact credal treatment of missing data
7. Eliciting and Analyzing Expert Judgment, A Practical Guide (Technometrics)
8. Sensitivity Estimates for Nonlinear Mathematical Models
9. Constructing Probability Boxes and Dempster-Shafer Structures
10. The Elements of Statistical Learning

Their papers

• Error and uncertainty in modeling and simulation (2002) — 660 citations
• An exploration of alternative approaches to the representation of uncertainty in model predictions (2003) — 414 citations
• Model validation and predictive capability for the thermal challenge problem (2008) — 326 citations
• Calibration, validation, and sensitivity analysis: What's what (2006) — 388 citations
• Experimental uncertainty estimation and statistics for data having interval uncertainty. (2007) — 225 citations
• Verification and Validation in Computational Fluid Dynamics (2002) — 1,243 citations
• Verification and validation benchmarks (2008) — 316 citations
• Measures of agreement between computation and experiment: Validation metrics (2004) — 567 citations
• Alternative representations of epistemic uncertainty (2004) — 304 citations
• A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011) — 823 citations
• Verification and Validation in Scientific Computing (2010) — 1,073 citations
• Validation of imprecise probability models (2009) — 103 citations
• Dependence in Dempster-Shafer theory and probability bounds analysis* (2004) — 51 citations