N. Hobbs

Statistics and Probability · 2015

A researcher in the Science corpus: 2 papers; trusts 41 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 22 citations into it; #11,339 of 12,932 by trust here, #9,714 by citations
• Artificial Intelligence — 15 citations into it; #30,387 of 35,345 by trust here, #30,347 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom N. Hobbs trusts overall

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

1. Tilmann Gneiting
2. Sumio Watanabe
3. James S. Clark
4. Adrian E. Raftery
5. John K. Kruschke
6. Peter J. Green
7. J. Bernardo
8. Anthony B. Atkinson
9. Jennifer A. Hoeting
10. Andrew Gelman

Who trusts N. Hobbs overall

1. G. Guillera‐Arroita
2. J. Fieberg
3. J. Morrongiello
4. Nathan P. Lemoine
5. T. Hefley
6. Bruce G. Marcot
7. Mevin B. Hooten
8. R. Thresher
9. Douglas H. Johnson
10. Andrew O. Finley

Papers from N. Hobbs's perspective

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

1. Estimating the Dimension of a Model
2. Bayesian measures of model complexity and fit
3. Bayesian data analysis.
4. Bayes factors
5. Regression Shrinkage and Selection via the Lasso
6. Sampling-Based Approaches to Calculating Marginal Densities
7. Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors
8. Expected Information as Expected Utility
9. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
10. Strictly Proper Scoring Rules, Prediction, and Estimation

Their papers

• Bayesian Models: A Statistical Primer for Ecologists (2015) — 355 citations
• A guide to Bayesian model selection for ecologists (2015) — 805 citations