M. Barbieri

Statistics and Probability · with Berger · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Barbieri trusts overall

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

  1. James O. Berger
  2. Martin Feldkircher
  3. Juho Piironen
  4. By P. Richard Hahn
  5. Merlise A. Clyde
  6. Maria J. Bayarri
  7. Luis R. Pericchi
  8. Carlos M. Carvalho
  9. Aki Vehtari
  10. Joyee Ghosh

Papers from M. Barbieri's perspective

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

  1. Objective Bayesian Methods for Model Selection: Introduction and Comparison
  2. Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem
  3. Mixtures of g Priors for Bayesian Variable Selection
  4. Bayesian Adaptive Sampling for Variable Selection and Model Averaging
  5. Empirical Bayes vs. Fully Bayes Variable Selection
  6. Criteria for Bayesian model choice with application to variable selection
  7. Forecast Combination and Bayesian Model Averaging - A Prior Sensitivity Analysis
  8. Comparison of Bayesian predictive methods for model selection (Statistics and computing)
  9. Decoupling Shrinkage and Selection in Bayesian Linear Models: A Posterior Summary Perspective
  10. On the Effect of Prior Assumptions in Bayesian Model Averaging with Applications to Growth Regression

Their papers