Luis R. Pericchi
Statistics and Probability · 1996–2016
A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 24 citations into it; #1,692 of 12,932 by trust here, #3,411 by citations
- Artificial Intelligence — 9 citations into it; #5,707 of 35,345 by trust here, #16,166 by citations
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Luis R. Pericchi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Luis R. Pericchi overall
- Valen E. Johnson
- Christian P. Robert
- James O. Berger
- K. Kamary
- Maria J. Bayarri
- Mark F. J. Steel
- Guido Consonni
- Eric-Jan Wagenmakers
- Edward I. George
- Jushan Bai
Papers from Luis R. Pericchi's perspective
Ordered by how strongly the researchers Luis R. Pericchi trusts endorse each paper. Same corpus, a different order for every researcher.
- Approximations and consistency of Bayes factors as model dimension grows
- The Theory of Probability
- Extending conventional priors for testing general hypotheses in linear models
- Memoir on the Probability of the Causes of Events
- Ockham's Razor and Bayesian Analysis
- The Variable Selection Problem
- Mixtures of g Priors for Bayesian Variable Selection
- Group invariance applications in statistics
- Invariant measures on groups and their use in statistics
- The Intrinsic Bayes Factor for Model Selection and Prediction
Their papers
- Objective Bayesian Methods for Model Selection: Introduction and Comparison (2001) — 429 citations
- The Effective Sample Size (2014) — 74 citations
- BAYES FACTORS AND MARGINAL DISTRIBUTIONS IN INVARIANT SITUATIONS (2016) — 69 citations
- Model Selection and Hypothesis Testing based on Objective Probabilities and Bayes Factors (2005) — 59 citations
- The Intrinsic Bayes Factor for Model Selection and Prediction (1996)