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Variable transformation to obtain geometric ergodicity in the
  random-walk Metropolis algorithm

Variable transformation to obtain geometric ergodicity in the random-walk Metropolis algorithm

27 February 2013
Leif Johnson
C. Geyer
ArXivPDFHTML

Papers citing "Variable transformation to obtain geometric ergodicity in the random-walk Metropolis algorithm"

7 / 7 papers shown
Title
Efficient shape-constrained inference for the autocovariance sequence
  from a reversible Markov chain
Efficient shape-constrained inference for the autocovariance sequence from a reversible Markov chain
Stephen Berg
Hyebin Song
18
6
0
26 Jul 2022
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of
  Multimodal Posteriors
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors
Yuling Yao
Aki Vehtari
Andrew Gelman
19
60
0
22 Jun 2020
Scalable inference for crossed random effects models
Scalable inference for crossed random effects models
O. Papaspiliopoulos
Gareth O. Roberts
Giacomo Zanella
26
36
0
26 Mar 2018
Exponential Ergodicity of the Bouncy Particle Sampler
Exponential Ergodicity of the Bouncy Particle Sampler
George Deligiannidis
Alexandre Bouchard-Coté
Arnaud Doucet
16
49
0
12 May 2017
Ergodicity of Markov chain Monte Carlo with reversible proposal
Ergodicity of Markov chain Monte Carlo with reversible proposal
K. Kamatani
17
11
0
09 Feb 2016
Transport map accelerated Markov chain Monte Carlo
Transport map accelerated Markov chain Monte Carlo
M. Parno
Youssef Marzouk
OT
32
159
0
17 Dec 2014
Component-Wise Markov Chain Monte Carlo: Uniform and Geometric
  Ergodicity under Mixing and Composition
Component-Wise Markov Chain Monte Carlo: Uniform and Geometric Ergodicity under Mixing and Composition
Alicia A. Johnson
Galin L. Jones
R. Neath
63
66
0
04 Mar 2009
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