Nicolas Bousquet

Statistics and Probability · 2008

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Bousquet trusts overall

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

  1. Olivier Capp'e
  2. James O. Berger
  3. A. P. Dawid
  4. Maria J. Bayarri
  5. Christian P. Robert
  6. Tilmann Gneiting
  7. Arnaud Guillin
  8. J. M. Pérez
  9. Andrew Gelman
  10. Paul H. Garthwaite

Papers from Nicolas Bousquet's perspective

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

  1. Population Monte Carlo
  2. The Intrinsic Bayes Factor for Model Selection and Prediction
  3. Monte Carlo Statistical Methods
  4. Expected‐posterior prior distributions for model selection
  5. The Well-Calibrated Bayesian
  6. Information Theory: 1948-1998 - Guest Editorial
  7. POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES
  8. Statistical Methods for Eliciting Probability Distributions
  9. Probabilistic forecasts, calibration and sharpness
  10. ANCILLARY STATISTICS: A REVIEW

Their papers