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Convergence properties of Gibbs samplers for Bayesian probit regression
  with proper priors
v1v2v3v4 (latest)

Convergence properties of Gibbs samplers for Bayesian probit regression with proper priors

27 February 2016
Saptarshi Chakraborty
Kshitij Khare
ArXiv (abs)PDFHTML

Papers citing "Convergence properties of Gibbs samplers for Bayesian probit regression with proper priors"

3 / 3 papers shown
Title
A spectral analytic comparison of trace-class data augmentation
  algorithms and their sandwich variants
A spectral analytic comparison of trace-class data augmentation algorithms and their sandwich variants
Kshitij Khare
J. Hobert
352
48
0
23 Feb 2012
Batch means and spectral variance estimators in Markov chain Monte Carlo
Batch means and spectral variance estimators in Markov chain Monte Carlo
James M. Flegal
Galin L. Jones
134
255
0
11 Nov 2008
A theoretical comparison of the data augmentation, marginal augmentation
  and PX-DA algorithms
A theoretical comparison of the data augmentation, marginal augmentation and PX-DA algorithms
J. Hobert
Dobrin Marchev
101
92
0
04 Apr 2008
1