Joshua C. C. Chan

Statistics and Probability · with Jeliazkov · 2009

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joshua C. C. Chan trusts overall

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

  1. Siddhartha Chib
  2. Mohsen Pourahmadi
  3. Robert E. McCulloch
  4. Ivan Jeliazkov
  5. Xuefeng Liu
  6. Michael K. Pitt
  7. J. Barnard
  8. Robert Kohn
  9. Michael J. Daniels
  10. Christian P. Robert

Papers from Joshua C. C. Chan's perspective

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

  1. Maximum likelihood estimation of generalised linear models for multivariate normal covariance matrix
  2. Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage
  3. Efficient Bayesian inference for Gaussian copula regression models
  4. Efficient estimation of covariance selection models
  5. A New Algorithm for Simulating a Correlation Matrix Based on Parameter Expansion and Reparameterization
  6. Bayesian analysis of binary and polychotomous response data
  7. A Bayesian analysis of the multinomial probit model with fully identified parameters
  8. Bayes factors
  9. Statistical inference in the multinomial multiperiod probit model
  10. Accept–reject Metropolis–Hastings sampling and marginal likelihood estimation

Their papers