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Adaptive, delayed-acceptance MCMC for targets with expensive likelihoods
v1v2 (latest)

Adaptive, delayed-acceptance MCMC for targets with expensive likelihoods

1 September 2015
Chris Sherlock
Andrew Golightly
D. Henderson
ArXiv (abs)PDFHTML

Papers citing "Adaptive, delayed-acceptance MCMC for targets with expensive likelihoods"

29 / 29 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
165
14
0
03 Jan 2025
General bounds on the quality of Bayesian coresets
General bounds on the quality of Bayesian coresets
Trevor Campbell
81
2
0
20 May 2024
Multi-fidelity Hamiltonian Monte Carlo
Multi-fidelity Hamiltonian Monte Carlo
Dhruv V. Patel
Jonghyun Lee
Matthew W. Farthing
P. Kitanidis
Eric F. Darve
81
0
0
08 May 2024
Bayesian score calibration for approximate models
Bayesian score calibration for approximate models
Joshua J. Bon
D. Warne
David J. Nott
Christopher C. Drovandi
54
3
0
10 Nov 2022
SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy
SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy
Callum Vyner
Christopher Nemeth
Chris Sherlock
40
26
0
08 Aug 2022
The Block-Correlated Pseudo Marginal Sampler for State Space Models
The Block-Correlated Pseudo Marginal Sampler for State Space Models
David Gunawan
Pratiti Chatterjee
Robert Kohn
32
0
0
29 Sep 2021
Gaussian Processes to speed up MCMC with automatic
  exploratory-exploitation effect
Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect
A. Benavoli
J. Wyse
Arthur J. White
GP
15
0
0
28 Sep 2021
A Survey of Monte Carlo Methods for Parameter Estimation
A Survey of Monte Carlo Methods for Parameter Estimation
D. Luengo
Luca Martino
M. Bugallo
Victor Elvira
S. Särkkä
93
156
0
25 Jul 2021
Warped Gradient-Enhanced Gaussian Process Surrogate Models for
  Exponential Family Likelihoods with Intractable Normalizing Constants
Warped Gradient-Enhanced Gaussian Process Surrogate Models for Exponential Family Likelihoods with Intractable Normalizing Constants
Quan Vu
M. Moores
A. Zammit‐Mangion
47
1
0
10 May 2021
Approximate Bayesian inference from noisy likelihoods with Gaussian
  process emulated MCMC
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC
Marko Jarvenpaa
J. Corander
51
5
0
08 Apr 2021
Accelerating sequential Monte Carlo with surrogate likelihoods
Accelerating sequential Monte Carlo with surrogate likelihoods
Joshua J. Bon
Anthony Lee
Christopher C. Drovandi
81
19
0
08 Sep 2020
Rate-optimal refinement strategies for local approximation MCMC
Rate-optimal refinement strategies for local approximation MCMC
Andrew D. Davis
Youssef Marzouk
Aaron Smith
Natesh Pillai
88
10
0
29 May 2020
Bayesian Computation with Intractable Likelihoods
Bayesian Computation with Intractable Likelihoods
M. Moores
A. Pettitt
Kerrie Mengersen
TPM
102
3
0
08 Apr 2020
Bayesian inference of Stochastic reaction networks using Multifidelity
  Sequential Tempered Markov Chain Monte Carlo
Bayesian inference of Stochastic reaction networks using Multifidelity Sequential Tempered Markov Chain Monte Carlo
T. Catanach
Huy D. Vo
B. Munsky
68
12
0
06 Jan 2020
Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models
  using the Ensemble Kalman Filter
Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models using the Ensemble Kalman Filter
Christopher C. Drovandi
R. Everitt
Andrew Golightly
D. Prangle
93
14
0
05 Jun 2019
Efficient posterior sampling for high-dimensional imbalanced logistic
  regression
Efficient posterior sampling for high-dimensional imbalanced logistic regression
Deborshee Sen
Matthias Sachs
Jianfeng Lu
David B. Dunson
102
13
0
27 May 2019
Finding our Way in the Dark: Approximate MCMC for Approximate Bayesian
  Methods
Finding our Way in the Dark: Approximate MCMC for Approximate Bayesian Methods
Evgeny Levi
Radu V. Craiu
52
6
0
16 May 2019
A Function Emulation Approach for Doubly Intractable Distributions
A Function Emulation Approach for Doubly Intractable Distributions
Jaewoo Park
M. Haran
TPM
50
15
0
20 Jun 2018
Accelerating delayed-acceptance Markov chain Monte Carlo algorithms
Accelerating delayed-acceptance Markov chain Monte Carlo algorithms
Samuel Wiqvist
Umberto Picchini
J. Forman
Kresten Lindorff-Larsen
Wouter Boomsma
38
8
0
15 Jun 2018
Bootstrapped synthetic likelihood
Bootstrapped synthetic likelihood
R. Everitt
221
14
0
15 Nov 2017
Marginal sequential Monte Carlo for doubly intractable models
Marginal sequential Monte Carlo for doubly intractable models
R. Everitt
D. Prangle
Philip Maybank
M. Bell
46
8
0
12 Oct 2017
Delayed acceptance ABC-SMC
Delayed acceptance ABC-SMC
R. Everitt
Paulina A. Rowińska
74
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
89
17
0
29 Jun 2017
Variance bounding of delayed-acceptance kernels
Variance bounding of delayed-acceptance kernels
Chris Sherlock
Anthony Lee
185
4
0
07 Jun 2017
Bayesian non-parametric inference for $Λ$-coalescents: consistency
  and a parametric method
Bayesian non-parametric inference for ΛΛΛ-coalescents: consistency and a parametric method
Jere Koskela
Paul A. Jenkins
Dario Spanó
15
4
0
03 Dec 2015
Speeding Up MCMC by Delayed Acceptance and Data Subsampling
Speeding Up MCMC by Delayed Acceptance and Data Subsampling
M. Quiroz
Minh-Ngoc Tran
M. Villani
Robert Kohn
148
43
0
22 Jul 2015
Efficiency of delayed-acceptance random walk Metropolis algorithms
Efficiency of delayed-acceptance random walk Metropolis algorithms
Chris Sherlock
Alexandre Hoang Thiery
Andrew Golightly
77
16
0
26 Jun 2015
Scalable Bayesian Inference for the Inverse Temperature of a Hidden
  Potts Model
Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model
M. Moores
Geoff K. Nicholls
A. Pettitt
Kerrie Mengersen
TPM
178
22
0
27 Mar 2015
Accelerating Metropolis-Hastings algorithms by Delayed Acceptance
Accelerating Metropolis-Hastings algorithms by Delayed Acceptance
Marco Banterle
Clara Grazian
Anthony Lee
Christian P. Robert
106
55
0
03 Mar 2015
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