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Pseudo-marginal Markov chain Monte Carlo methods for sampling from intractable distributions have gained recent interest and have been theoretically studied in considerable depth.
On exponential ergodicity and spectral structure for birth-death processes, II
H. Callaert and J. Keilson · 1973
Earlier work this paper cites.
The Existence of the First Negative Moment
W. W. Piegorsch and G. Casella · 1985
Earlier work this paper cites.
Uniform Integrability in the Cesàro Sense and the Weak Law of Large Numbers
T. K. Chandra · 1989
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Discussion: Markov Chains for Exploring Posterior Distributions
K. S. Chan and C. J. Geyer · 1994
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Computable Bounds for Geometric Convergence Rates of Markov Chains
S. P. Meyn and R. L. Tweedie · 1994
Earlier work this paper cites.
Minorization Conditions and Convergence Rates for Markov Chain Monte Carlo
J. S. Rosenthal · 1995
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Rates of Convergence of the Hastings and Metropolis Algorithms
K. L. Mengersen and R. L. Tweedie · 1996
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Geometric Convergence and Central Limit Theorems for Multidimensional Hastings and Metropolis Algorithms
G. O. Roberts and R. L. Tweedie · 1996
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Geometric Ergodicity and Hybrid Markov Chains
G. Roberts and J. Rosenthal · 1997
Earlier work this paper cites.
Convergence Properties of Perturbed Markov Chains
G. O. Roberts, J. S. Rosenthal, and P. O. Schwartz · 1998
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Markov Chains
J. Norris · 1999
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Analyses of Infectious Disease Data from Household Outbreaks by Markov chain Monte Carlo Methods
P. D. O’Neill, D. J. Balding, N. G. Becker, M. Eerola, and D. Mollison · 2000
Cited alongside, same era.
The Existence of the First Negative Moment Revisited
A. Khuri and G. Casella · 2002
Cited alongside, same era.
Lectures on the Coupling Method
T. Lindvall · 2002
Cited alongside, same era.
Estimation of Population Growth or Decline in Genetically Monitored Populations
M. A. Beaumont · 2003
Cited alongside, same era.
Feynman-Kac Formulae: Genealogical and Interacting Particle Systems with Applications
P. Del Moral · 2004
Cited alongside, same era.
General state space Markov chains and MCMC algorithms
G. O. Roberts and J. S. Rosenthal · 2004
Cited alongside, same era.
Simulation-based Bayesian inference for epidemic models
T. J. McKinley, J. V. Ross, R. Deardon, and A. R. Cook · 2012
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On some properties of Markov chain Monte Carlo simulation methods based on the particle filter
M. K. Pitt, R. dos Santos Silva, P. Giordani, and R. Kohn · 2012
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Playing Russian roulette with intractable likelihoods
M. Girolami, A.-M. Lyne, H. Strathmann, D. Simpson, and Y. Atchade · 2013
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Coupling, Stationarity, and Regeneration
H. Thorisson · 2013
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Noisy Monte Carlo: convergence of Markov chains with approximate transition kernels
P. Alquier, N. Friel, R. Everitt, and A. Boland · 2014
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Establishing some order amongst exact approximations of MCMCs
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Estimating Macroeconomic Models: A Likelihood Approach
J. Fernández-Villaverde and J. F. Rubio-Ramírez · 2007
Cited alongside, same era.
The Pseudo-Marginal Approach for Efficient Monte Carlo Computations
C. Andrieu and G. O. Roberts · 2009
Cited alongside, same era.
Markov Chains and Stochastic Stability
S. Meyn and R. L. Tweedie · 2009
Cited alongside, same era.
Particle Markov chain Monte Carlo methods
C. Andrieu, A. Doucet, and R. Holenstein · 2010
Cited alongside, same era.
Batch means and spectral variance estimators in Markov chain Monte Carlo
J. M. Flegal and G. L. Jones · 2010
Cited alongside, same era.
C. Andrieu and M. Vihola · 2014
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Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computation
A. Lee and K. Łatuszyński · 2014
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Comparison of asymptotic variances of inhomogeneous Markov chains with application to Markov chain Monte Carlo methods
F. Maire, R. Douc, and J. Olsson · 2014
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Convergence properties of pseudo-marginal Markov chain Monte Carlo algorithms
C. Andrieu and M. Vihola · 2015
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On the efficiency of pseudo-marginal random walk Metropolis algorithms
C. Sherlock, A. H. Thiery, G. O. Roberts, and J. S. Rosenthal · 2015
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