Raoul P. P. P. Grasman
Statistics and Probability · 2006–2017
A researcher in the Science corpus: 9 papers; trusts 36 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 86 citations into it; #4,802 of 12,932 by trust here, #3,703 by citations
- Artificial Intelligence — 38 citations into it; #25,134 of 35,345 by trust here, #16,471 by citations
- Management Science and Operations Research — 21 citations into it
- Cognitive Neuroscience — 20 citations into it; #5,642 of 10,852 by trust here, #5,677 by citations
- Statistical and Nonlinear Physics — 12 citations into it; #6,800 of 10,127 by trust here, #3,172 by citations
- Developmental and Educational Psychology — 11 citations into it
- Probabilistic & Bayesian Methods — 11 citations into it
- Social Psychology — 8 citations into it; #3,732 of 15,694 by trust here, #2,150 by citations
Whom Raoul P. P. P. Grasman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James O. Berger
- Andrew Gelman
- J. Mcardle
- Maria J. Bayarri
- Hugh A. Chipman
- Julian J. Faraway
- In Jae Myung
- Jorma Rissanen
- Roger Ratcliff
- E. Hamaker
Who trusts Raoul P. P. P. Grasman overall
- Eric-Jan Wagenmakers
- Sacha Epskamp
- Jeffrey N. Rouder
- H. Steingroever
- Satoshi Usami
- Denny Borsboom
- D. Hevey
- Hudson F. Golino
- Don van Ravenzwaaij
- Maarten Marsman
Papers from Raoul P. P. P. Grasman's perspective
Ordered by how strongly the researchers Raoul P. P. P. Grasman trusts endorse each paper. Same corpus, a different order for every researcher.
- Bayes factors
- Estimating the Dimension of a Model
- Objective Bayesian Methods for Model Selection: Introduction and Comparison
- Empirical Bayes vs. Fully Bayes Variable Selection
- Bayesian Variable Selection in Linear Regression
- Extending conventional priors for testing general hypotheses in linear models
- Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem
- The case for objective Bayesian analysis
- Mixtures of g Priors for Bayesian Variable Selection
- Criteria for Bayesian model choice with application to variable selection
Their papers
- A Tutorial on Fisher Information (2017) — 323 citations
- A dynamical model of general intelligence: the positive manifold of intelligence by mutualism. (2006) — 860 citations
- Bayesian hypothesis testing for psychologists: a tutorial on the Savage-Dickey method. (2010) — 691 citations
- A Default Bayesian Hypothesis Test for ANOVA Designs (2012) — 123 citations
- A critique of the cross-lagged panel model. (2015) — 3,383 citations
- Modeling Affect Dynamics: State of the Art and Future Challenges (2015) — 177 citations
- Hidden Multiplicity in Multiway ANOVA: Prevalence, Consequences, and Remedies (2014) — 88 citations
- Effect of Audio-Visual Intervention Program on Cognitive Development of the Preschool Children (2013) — 653 citations
- An EZ-diffusion model for response time and accuracy (2007) — 552 citations