Joseph Roy

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Roy trusts overall

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

  1. Alan Y. Chiang
  2. Eugene Demidenko
  3. Douglas M. Bates
  4. Andrew Gelman
  5. Dale J. Barr
  6. John K. Kruschke

Who trusts Joseph Roy overall

  1. Lotte Meteyard
  2. Robert A. I. Davies

Papers from Joseph Roy's perspective

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

  1. Random effects structure for confirmatory hypothesis testing: Keep it maximal (Journal of Memory and Language)
  2. Fitting Linear Mixed-Effects Models Using lme4
  3. Generalized Additive Models: An Introduction With R
  4. Parsimonious Mixed Models
  5. A weakly informative default prior distribution for logistic and other regression models
  6. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan
  7. Statistical Rethinking: A Bayesian Course with Examples in R and Stan
  8. Mixed Models: Theory and Applications with R
  9. Mixed-Effects Models in S and S-Plus
  10. Data Analysis Using Regression and Multilevel/Hierarchical Models

Their papers