ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1403.4359
  4. Cited By
Pre-processing for approximate Bayesian computation in image analysis
v1v2 (latest)

Pre-processing for approximate Bayesian computation in image analysis

18 March 2014
M. Moores
Christopher C. Drovandi
Kerrie Mengersen
Christian P. Robert
ArXiv (abs)PDFHTML

Papers citing "Pre-processing for approximate Bayesian computation in image analysis"

19 / 19 papers shown
Title
Bayesian Synthetic Likelihood
Bayesian Synthetic Likelihood
David T. Frazier
Christopher C. Drovandi
David J. Nott
193
220
0
09 May 2023
Score Matched Neural Exponential Families for Likelihood-Free Inference
Score Matched Neural Exponential Families for Likelihood-Free Inference
Lorenzo Pacchiardi
Ritabrata Dutta
238
28
0
20 Dec 2020
Scalable Approximate Bayesian Computation for Growing Network Models via
  Extrapolated and Sampled Summaries
Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries
Louis Raynal
Sixing Chen
Antonietta Mira
J. Onnela
33
3
0
09 Nov 2020
Bayesian Indirect Inference for Models with Intractable Normalizing
  Functions
Bayesian Indirect Inference for Models with Intractable Normalizing Functions
Jaewoo Park
TPM
31
2
0
06 Aug 2020
A Survey of Bayesian Statistical Approaches for Big Data
A Survey of Bayesian Statistical Approaches for Big Data
Farzana Jahan
Insha Ullah
Kerrie Mengersen
102
14
0
08 Jun 2020
Bayesian Computation with Intractable Likelihoods
Bayesian Computation with Intractable Likelihoods
M. Moores
A. Pettitt
Kerrie Mengersen
TPM
104
3
0
08 Apr 2020
Component-wise approximate Bayesian computation via Gibbs-like steps
Component-wise approximate Bayesian computation via Gibbs-like steps
Grégoire Clarté
Christian P. Robert
Robin J. Ryder
Julien Stoehr
82
30
0
31 May 2019
Spectral Density-Based and Measure-Preserving ABC for partially observed
  diffusion processes. An illustration on Hamiltonian SDEs
Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs
E. Buckwar
M. Tamborrino
I. Tubikanec
86
36
0
04 Mar 2019
A Simple Algorithm for Scalable Monte Carlo Inference
A Simple Algorithm for Scalable Monte Carlo Inference
A. Borisenko
M. Byshkin
Alessandro Lomi
63
10
0
02 Jan 2019
A Function Emulation Approach for Doubly Intractable Distributions
A Function Emulation Approach for Doubly Intractable Distributions
Jaewoo Park
M. Haran
TPM
96
15
0
20 Jun 2018
Approximating the Likelihood in Approximate Bayesian Computation
Approximating the Likelihood in Approximate Bayesian Computation
Christopher C. Drovandi
Clara Grazian
Kerrie Mengersen
Christian P. Robert
80
12
0
18 Mar 2018
ABC and Indirect Inference
ABC and Indirect Inference
Christopher C. Drovandi
44
9
0
06 Mar 2018
Bootstrapped synthetic likelihood
Bootstrapped synthetic likelihood
R. Everitt
231
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
53
8
0
12 Oct 2017
Efficient MCMC for Gibbs Random Fields using pre-computation
Efficient MCMC for Gibbs Random Fields using pre-computation
A. Boland
Nial Friel
Florian Maire
91
19
0
11 Oct 2017
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
187
22
0
27 Mar 2015
Lazy ABC
Lazy ABC
D. Prangle
125
44
0
30 May 2014
Adaptive ABC model choice and geometric summary statistics for hidden
  Gibbs random fields
Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields
Julien Stoehr
Pierre Pudlo
L. Cucala
92
14
0
06 Feb 2014
On Russian Roulette Estimates for Bayesian Inference with
  Doubly-Intractable Likelihoods
On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods
A. Lyne
Mark Girolami
Yves F. Atchadé
Heiko Strathmann
Daniel P. Simpson
197
135
0
17 Jun 2013
1