R. Neath

Statistics and Probability · 2006–2012

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom R. Neath trusts overall

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

  1. Gersende Fort
  2. Greg C. G. Wei
  3. Geoffrey J. McLachlan
  4. Galin L. Jones
  5. Eric Moulines
  6. James P. Hobert
  7. Martin A. Tanner
  8. Gareth O. Roberts
  9. Radford M. Neal
  10. Jeffrey S. Rosenthal

Who trusts R. Neath overall

  1. Dootika Vats
  2. James M. Flegal

Papers from R. Neath's perspective

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

  1. Polynomial ergodicity of Markov transition kernels
  2. Geometric ergodicity of Metropolis algorithms
  3. Markov Chains and Stochastic Stability
  4. Honest Exploration of Intractable Probability Distributions via Markov Chain Monte Carlo
  5. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  6. V-Subgeometric ergodicity for a Hastings–Metropolis algorithm
  7. Data Analysis Using Stein's Estimator and its Generalizations
  8. The EM algorithm and extensions
  9. Sufficient burn-in for Gibbs samplers for a hierarchical random effects model
  10. Polynomial convergence rates of Markov chains.

Their papers