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Variance bounding of delayed-acceptance kernels
v1v2v3v4 (latest)

Variance bounding of delayed-acceptance kernels

Methodology and Computing in Applied Probability (MCAP), 2017
7 June 2017
Chris Sherlock
Anthony Lee
ArXiv (abs)PDFHTML

Papers citing "Variance bounding of delayed-acceptance kernels"

4 / 4 papers shown
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABCInternational Statistical Review (ISR), 2021
F. Llorente
Luca Martino
Jesse Read
D. Delgado
OffRL
646
19
0
03 Jan 2025
Markov chain Monte Carlo importance samplers for Bayesian models with
  intractable likelihoods
Markov chain Monte Carlo importance samplers for Bayesian models with intractable likelihoods
Jordan Franks
182
0
0
11 Apr 2019
Importance sampling correction versus standard averages of reversible
  MCMCs in terms of the asymptotic variance
Importance sampling correction versus standard averages of reversible MCMCs in terms of the asymptotic variance
Jordan Franks
M. Vihola
460
17
0
29 Jun 2017
Efficiency of delayed-acceptance random walk Metropolis algorithms
Efficiency of delayed-acceptance random walk Metropolis algorithms
Chris Sherlock
Alexandre Hoang Thiery
Andrew Golightly
304
16
0
26 Jun 2015
1
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