Fetching the paper…
Reading the bibliography…
We consider Metropolis Hastings MCMC in cases where the log of the ratio of target distributions is replaced by an estimator.
Equation of state calculations by fast computing machines
N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller · 1953
Earlier work this paper cites.
Monte Carlo sampling methods using Markov chains and their applications
W. Hastings · 1970
Earlier work this paper cites.
Optimum Monte Carlo sampling using Markov chains
P.H. Peskun · 1973
Earlier work this paper cites.
Novel approach to nonlinear/non-Gaussian Bayesian state estimation
N. J. Gordon, D. J. Salmond, and A. F. M. Smith · 1993
Earlier work this paper cites.
Markov chains for exploring posterior distributions
L. Tierney · 1994
Earlier work this paper cites.
Bayesian computation and stochastic systems
J. E. Besag, P. J. Green, D. Higdon, and K. Mengersen · 1995
Earlier work this paper cites.
Exact sampling with coupled Markov chains and applications to statistical mechanics
J.G. Propp and D.B. Wilson · 1996
Earlier work this paper cites.
Exact sampling from a continuous state space
D. J. Murdoch and P. J. Green · 1998
Cited alongside, same era.
How to get a perfectly random sample from a generic Markov chain and generate a random spanning tree of a directed graph
James G. Propp and David B. Wilson · 1998
Cited alongside, same era.
The Penalty Method for Random Walks with Uncertain Energies
D M Ceperley and M Dewing · 1999
Cited alongside, same era.
A noisy Monte Carlo algorithm
L. Lin, K. F. Liu, and J. Sloan · 2000
Cited alongside, same era.
Stochastic annealing
Robin Ball, Thomas Fink, and Neill Bowler · 2003
Cited alongside, same era.
Estimation of population growth or decline in genetically monitored populations
M. A. Beaumont · 2003
Cited alongside, same era.
Spectral theory and limit theorems for geometrically ergodic Markov processes
I. Kontoyiannis and S. P. Meyn · 2003
Later among the works it cites.
An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants
Jesper Møller, A.N. Pettitt, K. K. Berthelsen, and R. W. Reeves · 2004
Later among the works it cites.
MCMC for doubly-intractable distributions
Iain Murray and David J C MacKay · 2006
Later among the works it cites.
The pseudo-marginal approach for efficient Monte Carlo computations
Christophe Andrieu and Gareth O. Roberts · 2009
Later among the works it cites.
Particle Markov chain Monte Carlo methods
C. Andrieu, A. Doucet, and R. Holenstein · 2010
Later among the works it cites.
An active particle perspective of MCMC and its application to locally adaptive MCMC algorithms
A. Lee, C. Andrieu, and A. Doucet · 2011
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Later among the works it cites.