Scott Ferson

Statistics and Probability · 1996–2013

A researcher in the Science corpus: 11 papers; trusts 25 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 71 citations into it; #4,828 of 12,932 by trust here, #2,407 by citations
• Management Science and Operations Research — 29 citations into it; #8,970 of 11,946 by trust here, #3,247 by citations
• Artificial Intelligence — 21 citations into it; #28,532 of 35,345 by trust here, #17,412 by citations
• Computational Theory and Mathematics — 18 citations into it; #12,037 of 12,182 by trust here, #8,294 by citations
• Control and Systems Engineering — 14 citations into it; #8,078 of 8,257 by trust here, #5,784 by citations
• Aerospace Engineering — 6 citations into it; #3,053 of 6,421 by trust here, #4,205 by citations
• Probabilistic & Bayesian Methods — 6 citations into it
• Information Theory — 5 citations into it

Whom Scott Ferson trusts overall

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

1. William Oberkampf
2. Ilya S. Molchanov
3. Huaiyu Zhu
4. Michael A. Stephens
5. Charles F. Manski
6. James O. Berger
7. Denise Draper
8. T. Trucano
9. Jon C. Helton
10. Kari Sentz

Who trusts Scott Ferson overall

1. Didier Dubois
2. Hans Janssen
3. William Oberkampf
4. Zhen Hu
5. Mark A. Burgman
6. Hao Zhang
7. Zhimin Xi
8. Nicola Pedroni
9. Christopher J. Roy
10. Xianglin Liu

Papers from Scott Ferson's perspective

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

1. Inference on Regressions with Interval Data on a Regressor or Outcome
2. Identification and Review of Sensitivity Analysis Methods (Risk Analysis)
3. Nonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data
4. Exact credal treatment of missing data
5. Sensitivity Estimates for Nonlinear Mathematical Models
6. What Monte Carlo methods cannot do
7. Heuristics and Biases: Assessing Uncertainty in Physical Constants
8. Constructing Probability Boxes and Dempster-Shafer Structures
9. High Dimensional Model Representations
10. Partial Identification of Probability Distributions

Their papers

• Constructing Probability Boxes and Dempster-Shafer Structures (2003) — 763 citations
• Model validation and predictive capability for the thermal challenge problem (2008) — 326 citations
• Combination of Evidence in Dempster-Shafer Theory (2002) — 1,226 citations
• Experimental uncertainty estimation and statistics for data having interval uncertainty. (2007) — 225 citations
• SETTING RELIABILITY BOUNDS ON HABITAT SUITABILITY INDICES (2001) — 151 citations
• Sensitivity in risk analyses with uncertain numbers. (2006) — 63 citations
• Imprecise probabilities in engineering analyses (2013) — 181 citations
• Validation of imprecise probability models (2009) — 103 citations
• Dependence in Dempster-Shafer theory and probability bounds analysis* (2004) — 51 citations
• Quantitative Methods for Conservation Biology (2002) — 324 citations
• What Monte Carlo methods cannot do (1996)