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On the convergence complexity of Gibbs samplers for a family of simple
  Bayesian random effects models

On the convergence complexity of Gibbs samplers for a family of simple Bayesian random effects models

29 April 2020
Bryant Davis
J. Hobert
ArXivPDFHTML

Papers citing "On the convergence complexity of Gibbs samplers for a family of simple Bayesian random effects models"

2 / 2 papers shown
Title
Convergence Analysis of a Collapsed Gibbs Sampler for Bayesian Vector
  Autoregressions
Convergence Analysis of a Collapsed Gibbs Sampler for Bayesian Vector Autoregressions
Karl Oskar Ekvall
Galin L. Jones
38
17
0
06 Jul 2019
Convergence complexity analysis of Albert and Chib's algorithm for
  Bayesian probit regression
Convergence complexity analysis of Albert and Chib's algorithm for Bayesian probit regression
Qian Qin
J. Hobert
32
32
0
24 Dec 2017
1