Richard D. Morey

Statistics and Probability · 2008–2019

A researcher in the Science corpus: 20 papers; trusts 43 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 102 citations into it; #1,312 of 12,932 by trust here, #638 by citations
• Artificial Intelligence — 49 citations into it; #7,397 of 35,345 by trust here, #11,624 by citations
• Cognitive Neuroscience — 23 citations into it
• Management Science and Operations Research — 23 citations into it; #5,585 of 11,946 by trust here, #4,267 by citations
• Experimental and Cognitive Psychology — 22 citations into it
• Social Psychology — 15 citations into it
• Developmental and Educational Psychology — 14 citations into it
• General Decision Sciences — 14 citations into it; #584 of 1,995 by trust here, #273 by citations

Whom Richard D. Morey trusts overall

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

1. James O. Berger
2. Jeffrey N. Rouder
3. Denis Cousineau
4. Robert E. Kass
5. D. Bem
6. Feng Liang
7. Andrew Gelman
8. Valen E. Johnson
9. Hirotugu Akaike
10. Samuel Kotz

Who trusts Richard D. Morey overall

1. Eric-Jan Wagenmakers
2. Felix D. Schönbrodt
3. Jeffrey N. Rouder
4. Simon Kornblith
5. D. Quintana
6. R. van de Schoot
7. Alexander Ly
8. Dominique Makowski
9. Quentin F. Gronau
10. Andrew F. Jarosz

Papers from Richard D. Morey's perspective

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

1. Estimating the Dimension of a Model
2. Bayes factors
3. Subset Selection in Regression
4. Sampling-Based Approaches to Calculating Marginal Densities
5. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
6. A new look at the statistical model identification
7. The case for objective Bayesian analysis
8. Extending conventional priors for testing general hypotheses in linear models
9. Calibration of ρ Values for Testing Precise Null Hypotheses
10. Estimation with Quadratic Loss

Their papers

• Confidence Intervals from Normalized Data: A correction to Cousineau (2005) (2008) — 1,983 citations
• Bayesian t tests for accepting and rejecting the null hypothesis (2009) — 3,569 citations
• Using MCMC chain outputs to efficiently estimate Bayes factors (2011) — 84 citations
• Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results (2018) — 668 citations
• Simple relation between Bayesian order-restricted and point-null hypothesis tests (2014) — 84 citations
• Default Bayes Factors for Model Selection in Regression (2012) — 455 citations
• Bayesian inference for psychology. Part II: Example applications with JASP (2017) — 1,530 citations
• Default Bayes factors for ANOVA designs (2012) — 1,707 citations
• The need for Bayesian hypothesis testing in psychological science (2017) — 129 citations
• Bayesian Benefits for the Pragmatic Researcher (2016) — 307 citations
• JASP: Graphical Statistical Software for Common Statistical Designs (2019) — 905 citations
• Teaching Bayes’ Theorem: Strength of Evidence as Predictive Accuracy (2018) — 47 citations
• Baysefactor: Computation of Bayes Factors for Common Designs (2018) — 1,299 citations
• Bayesian Analysis of Factorial Designs (2017) — 337 citations
• The philosophy of Bayes’ factors and the quantification of statistical evidence (2016) — 289 citations
• Computation of Bayes Factors for Common Designs (2015) — 221 citations
• Testing order constraints : Qualitative differences between Bayes factors and normalized maximum likelihood (2014) — 15 citations
• How to measure working memory capacity in the change detection paradigm (2011)
• Delta Plots and Coherent Distribution Ordering (2008) — 54 citations
• An assessment of fixed-capacity models of visual working memory (2008) — 350 citations