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Accelerating Metropolis-Hastings algorithms by Delayed Acceptance

Accelerating Metropolis-Hastings algorithms by Delayed Acceptance

3 March 2015
Marco Banterle
Clara Grazian
Anthony Lee
Christian P. Robert
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Papers citing "Accelerating Metropolis-Hastings algorithms by Delayed Acceptance"

14 / 14 papers shown
Title
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 ABC
F. Llorente
Luca Martino
Jesse Read
D. Delgado
OffRL
76
13
0
03 Jan 2025
Coreset Markov Chain Monte Carlo
Coreset Markov Chain Monte Carlo
Naitong Chen
Trevor Campbell
32
4
0
25 Oct 2023
Computing Bayes: From Then 'Til Now'
Computing Bayes: From Then 'Til Now'
G. Martin
David T. Frazier
Christian P. Robert
37
15
0
01 Aug 2022
Accelerating inference for stochastic kinetic models
Accelerating inference for stochastic kinetic models
Tom Lowe
Andrew Golightly
Chris Sherlock
13
5
0
06 Jun 2022
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian
  parameter inference for partially observed stochastic processes
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes
D. Warne
Thomas P. Prescott
Ruth Baker
Matthew J. Simpson
22
15
0
26 Oct 2021
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
42
17
0
14 Apr 2020
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large
  Datasets
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
R. Cornish
Paul Vanetti
Alexandre Bouchard-Coté
George Deligiannidis
Arnaud Doucet
50
16
0
28 Jan 2019
Accelerating MCMC Algorithms
Accelerating MCMC Algorithms
Christian P. Robert
Victor Elvira
Nicholas G. Tawn
Changye Wu
28
141
0
08 Apr 2018
Delayed acceptance ABC-SMC
Delayed acceptance ABC-SMC
R. Everitt
Paulina A. Rowińska
42
15
0
07 Aug 2017
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
33
17
0
29 Jun 2017
Informed Sub-Sampling MCMC: Approximate Bayesian Inference for Large
  Datasets
Informed Sub-Sampling MCMC: Approximate Bayesian Inference for Large Datasets
Florian Maire
Nial Friel
Pierre Alquier
33
14
0
26 Jun 2017
Generalized and hybrid Metropolis-Hastings overdamped Langevin
  algorithms
Generalized and hybrid Metropolis-Hastings overdamped Langevin algorithms
R. Poncet
31
11
0
19 Jan 2017
Which ergodic averages have finite asymptotic variance?
Which ergodic averages have finite asymptotic variance?
George Deligiannidis
Anthony Lee
22
12
0
27 Jun 2016
Mode jumping MCMC for Bayesian variable selection in GLMM
Mode jumping MCMC for Bayesian variable selection in GLMM
A. Hubin
G. Storvik
20
28
0
21 Apr 2016
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