M. LINA MARTÍNEZ

Statistics and Probability · 2006

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom M. LINA MARTÍNEZ trusts overall

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

  1. Edward I. George
  2. James O. Berger
  3. Luis R. Pericchi

Who trusts M. LINA MARTÍNEZ overall

  1. George Casella

Papers from M. LINA MARTÍNEZ's perspective

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

  1. The Intrinsic Bayes Factor for Model Selection and Prediction
  2. Objective Bayesian Methods for Model Selection: Introduction and Comparison
  3. Calibration and empirical Bayes variable selection
  4. The Practical Implementation of Bayesian Model Selection
  5. The Variable Selection Problem
  6. Computational approaches to motor learning by imitation.
  7. Calibration of ρ Values for Testing Precise Null Hypotheses
  8. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  9. Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem
  10. Empirical Bayes vs. Fully Bayes Variable Selection

Their papers