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Bayesian computation via empirical likelihood

Bayesian computation via empirical likelihood

25 May 2012
Kerrie Mengersen
Pierre Pudlo
Christian P. Robert
ArXivPDFHTML

Papers citing "Bayesian computation via empirical likelihood"

18 / 18 papers shown
Title
On a Variational Approximation based Empirical Likelihood ABC Method
On a Variational Approximation based Empirical Likelihood ABC Method
S. Chaudhuri
Subhro Ghosh
David J. Nott
Kim Cuc Pham
16
2
0
12 Nov 2020
Bayesian Elastic Net based on Empirical Likelihood
Bayesian Elastic Net based on Empirical Likelihood
Chul Moon
Adel Bedoui
11
5
0
18 Jun 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
42
14
0
08 Jun 2020
Kernel-based Approximate Bayesian Inference for Exponential Family
  Random Graph Models
Kernel-based Approximate Bayesian Inference for Exponential Family Random Graph Models
Fan Yin
C. Butts
11
4
0
17 Apr 2020
Markov Chain Monte Carlo Methods, a survey with some frequent
  misunderstandings
Markov Chain Monte Carlo Methods, a survey with some frequent misunderstandings
Christian P. Robert
Changye Wu
20
6
0
17 Jan 2020
Optimistic Distributionally Robust Optimization for Nonparametric
  Likelihood Approximation
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation
Viet Anh Nguyen
Soroosh Shafieezadeh-Abadeh
Man-Chung Yue
Daniel Kuhn
W. Wiesemann
11
29
0
23 Oct 2019
Maximum Likelihood under constraints: Degeneracies and Random Critical
  Points
Maximum Likelihood under constraints: Degeneracies and Random Critical Points
Subhro Ghosh
S. Chaudhuri
14
1
0
03 Oct 2019
A Pólya-Gamma Sampler for a Generalized Logistic Regression
A Pólya-Gamma Sampler for a Generalized Logistic Regression
L. Dalla Valle
Fabrizio Leisen
Luca Rossini
Weixuan Zhu
15
3
0
06 Sep 2019
A review of Approximate Bayesian Computation methods via density
  estimation: inference for simulator-models
A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models
C. Grazian
Yanan Fan
TPM
21
22
0
06 Sep 2019
Bayesian inference using synthetic likelihood: asymptotics and
  adjustments
Bayesian inference using synthetic likelihood: asymptotics and adjustments
David T. Frazier
David J. Nott
Christopher C. Drovandi
Robert Kohn
23
40
0
13 Feb 2019
An easy-to-use empirical likelihood ABC method
An easy-to-use empirical likelihood ABC method
S. Chaudhuri
Subhro Ghosh
David J. Nott
Kim Cuc Pham
28
6
0
03 Oct 2018
ABC Samplers
ABC Samplers
Y. Fan
Scott A. Sisson
22
28
0
26 Feb 2018
On parameter estimation with the Wasserstein distance
On parameter estimation with the Wasserstein distance
Espen Bernton
H. Shakespeare
Mathieu Gerber
Christian P. Robert
39
77
0
18 Jan 2017
Moment conditions and Bayesian nonparametrics
Moment conditions and Bayesian nonparametrics
L. Bornn
N. Shephard
R. Solgi
24
19
0
30 Jul 2015
Approximate Bayesian inference in semiparametric copula models
Approximate Bayesian inference in semiparametric copula models
Clara Grazian
B. Liseo
31
21
0
10 Mar 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
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
50
135
0
17 Jun 2013
Expectation-Propagation for Likelihood-Free Inference
Expectation-Propagation for Likelihood-Free Inference
Simon Barthelmé
Nicolas Chopin
56
85
0
29 Jul 2011
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