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Geometric Ergodicity & Scanning Strategies For Two-Component Gibbs Samplers
Geometric Ergodicity Scanning Strategies Two-Component Gibbs Samplers
2012/11/23
In any Markov chain Monte Carlo analysis, rapid convergence of the chain to its target probability distribution is of practical and theoretical importance. A chain that converges at a geometric rate i...
We consider various versions of adaptive Gibbs and Metropolis-
within-Gibbs samplers, which update their selection probabilities (and per-
haps also their proposal distributions) on the fly during a...
We congratulate the authors on a review of convergence
rates for Gibbs sampling routines. Their
combined work on studying convergence rates via
orthogonal polynomials in the present paper under
di...