Hal S. Stern

Statistics and Probability · 1995–2013

A researcher in the Science corpus: 10 papers; trusts 7 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 29 citations into it; #12,241 of 12,932 by trust here, #3,609 by citations
• Probabilistic & Bayesian Methods — 9 citations into it

Whom Hal S. Stern trusts overall

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

1. Donald B. Rubin
2. Andrew Gelman
3. Alan E. Gelfand
4. Denise Draper
5. F. Janzen

Who trusts Hal S. Stern overall

1. Andrew Gelman
2. David M. Blei
3. Sik-Yum Lee
4. Aki Vehtari
5. Sander Greenland
6. Valen E. Johnson
7. Blakeley B. McShane
8. R. Millar
9. Yixin Wang
10. Geert Molenberghs

Papers from Hal S. Stern's perspective

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

1. Sampling-Based Approaches to Calculating Marginal Densities
2. Assessment and Propagation of Model Uncertainty
3. EXPERIMENTAL ANALYSIS OF AN EARLY LIFE-HISTORY STAGE: SELECTION ON SIZE OF HATCHLING TURTLES
4. Bayesianly Justifiable and Relevant Frequency Calculations for the Applied Statistician
5. P Values for Composite Null Models
6. On the Foundations of Statistical Inference
7. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
8. INFERENCE AND MISSING DATA
9. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
10. The Design of Experiments

Their papers

• The Prevention and Treatment of Missing Data in Clinical Trials (2012) — 1,824 citations
• Posterior predictive model checking in hierarchical models (2003) — 122 citations
• The Difference Between “Significant” and “Not Significant” is not Itself Statistically Significant (2006) — 1,045 citations
• Bayesian data analysis, third edition (2013) — 4,900 citations
• Bayesian Data Analysis (2004) — 5,883 citations
• On the Sensitivity of Bayes Factors to the Prior Distributions (2002) — 96 citations
• POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES (1996)
• Bayesian Data Analysis. (1996)
• Handling “Don't Know” Survey Responses: The Case of the Slovenian Plebiscite (1995)
• Bayesian Data Analysis (1995)