Aixin Tan

Statistics and Probability · 2009

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Aixin Tan trusts overall

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

  1. Andrew Gelman
  2. Galin L. Jones
  3. Gareth O. Roberts
  4. James P. Hobert

Who trusts Aixin Tan overall

  1. James M. Flegal
  2. Galin L. Jones

Papers from Aixin Tan's perspective

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

  1. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
  2. Data Analysis Using Stein's Estimator and its Generalizations
  3. Sampling-Based Approaches to Calculating Marginal Densities
  4. ANALYSIS OF A NONREVERSIBLE MARKOV CHAIN SAMPLER
  5. Improving Asymptotic Variance of MCMC Estimators: Non-reversible Chains are Better
  6. Honest Exploration of Intractable Probability Distributions via Markov Chain Monte Carlo
  7. Monte Carlo Statistical Methods
  8. Sufficient burn-in for Gibbs samplers for a hierarchical random effects model
  9. Bayesian analysis of mixture models with an unknown number of components- an alternative to reversible jump methods
  10. Delayed rejection in reversible jump Metropolis–Hastings

Their papers