Francisco Torres

Statistics and Probability · with Girón · 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 Francisco Torres trusts overall

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

  1. Edward I. George
  2. James O. Berger

Who trusts Francisco Torres overall

  1. George Casella
  2. Elias Moreno

Papers from Francisco Torres's perspective

Ordered by how strongly the researchers Francisco Torres 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