J. Grossman

2011

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 11 researchers here, as inferred from the citation graph.

Whom J. Grossman trusts overall

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

  1. James O. Berger

Who trusts J. Grossman overall

  1. Zoltan Dienes
  2. L. Garamszegi
  3. Nancy Reid
  4. Jake Snell
  5. Joachim Vandekerckhove
  6. Richard S. Zemel
  7. D. R. Cox
  8. Erich Leo Lehmann
  9. Eric-Jan Wagenmakers
  10. D. Matzke

Papers from J. Grossman's perspective

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

  1. Objective Bayesian Analysis of Spatially Correlated Data
  2. Gaussian Process Models for Computer Experiments With Qualitative and Quantitative Factors
  3. Extending conventional priors for testing general hypotheses in linear models
  4. Objective Bayesian Methods for Model Selection: Introduction and Comparison
  5. Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
  6. Bayesian emulation of complex multi-output and dynamic computer models
  7. The Intrinsic Bayes Factor for Model Selection and Prediction
  8. Non‐Gaussian Ornstein–Uhlenbeck‐based models and some of their uses in financial economics
  9. Computer model validation with functional output
  10. On Model Expansion, Model Contraction, Identifiability and Prior Information: Two Illustrative Scenarios Involving Mismeasured Variables

Their papers