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. 1107.5959
  4. Cited By
Expectation-Propagation for Likelihood-Free Inference

Expectation-Propagation for Likelihood-Free Inference

29 July 2011
Simon Barthelmé
Nicolas Chopin
ArXivPDFHTML

Papers citing "Expectation-Propagation for Likelihood-Free Inference"

15 / 15 papers shown
Title
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
Yifei Xiong
Xiliang Yang
Sanguo Zhang
Zhijian He
116
2
0
17 Jan 2025
Bayesian Nonlinear Models for Repeated Measurement Data: An Overview,
  Implementation, and Applications
Bayesian Nonlinear Models for Repeated Measurement Data: An Overview, Implementation, and Applications
Se Yoon Lee
21
18
0
28 Jan 2022
Approximating Bayes in the 21st Century
Approximating Bayes in the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
39
26
0
20 Dec 2021
Likelihood-Free Inference in State-Space Models with Unknown Dynamics
Likelihood-Free Inference in State-Space Models with Unknown Dynamics
Alexander Aushev
Thong Tran
Henri Pesonen
Andrew Howes
Samuel Kaski
28
1
0
02 Nov 2021
Likelihood-free approximate Gibbs sampling
Likelihood-free approximate Gibbs sampling
G. S. Rodrigues
David J. Nott
Scott A. Sisson
30
24
0
11 Jun 2019
An automatic adaptive method to combine summary statistics in
  approximate Bayesian computation
An automatic adaptive method to combine summary statistics in approximate Bayesian computation
Jonathan U. Harrison
R. Baker
40
17
0
07 Mar 2017
Using Approximate Bayesian Computation by Subset Simulation for
  Efficient Posterior Assessment of Dynamic State-Space Model Classes
Using Approximate Bayesian Computation by Subset Simulation for Efficient Posterior Assessment of Dynamic State-Space Model Classes
M. Vakilzadeh
J. Beck
T. Abrahamsson
19
14
0
04 Aug 2016
Asymptotically exact inference in differentiable generative models
Asymptotically exact inference in differentiable generative models
Matthew M. Graham
Amos J. Storkey
BDL
21
33
0
25 May 2016
Fast $ε$-free Inference of Simulation Models with Bayesian
  Conditional Density Estimation
Fast εεε-free Inference of Simulation Models with Bayesian Conditional Density Estimation
George Papamakarios
Iain Murray
TPM
32
158
0
20 May 2016
Stochastic Expectation Propagation
Stochastic Expectation Propagation
Yingzhen Li
Jose Miguel Hernandez-Lobato
Richard Turner
21
114
0
12 Jun 2015
Likelihood-free Model Choice
Likelihood-free Model Choice
Jean-Michel Marin
Pierre Pudlo
A. Estoup
Christian P. Robert
32
28
0
26 Mar 2015
Some comments about A. Ronald Gallant's "Reflections on the Probability
  Space Induced by Moment Conditions with Implications for Bayesian Inference"
Some comments about A. Ronald Gallant's "Reflections on the Probability Space Induced by Moment Conditions with Implications for Bayesian Inference"
Christian P. Robert
30
1
0
05 Feb 2015
Approximate Bayesian Computation with composite score functions
Approximate Bayesian Computation with composite score functions
E. Ruli
Nicola Sartori
L. Ventura
34
35
0
28 Nov 2013
Bayesian computation via empirical likelihood
Bayesian computation via empirical likelihood
Kerrie Mengersen
Pierre Pudlo
Christian P. Robert
24
83
0
25 May 2012
On optimality of kernels for approximate Bayesian computation using
  sequential Monte Carlo
On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo
Sarah Filippi
Chris P. Barnes
Julien Cornebise
M. Stumpf
68
128
0
30 Jun 2011
1