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Summary Statistics in Approximate Bayesian Computation

Summary Statistics in Approximate Bayesian Computation

17 December 2015
D. Prangle
ArXiv (abs)PDFHTML

Papers citing "Summary Statistics in Approximate Bayesian Computation"

18 / 18 papers shown
Title
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings
Mijung Park
Wittawat Jitkrittum
Dino Sejdinovic
42
10
0
09 Feb 2015
Approximate Bayesian Computation in State Space Models
Approximate Bayesian Computation in State Space Models
Gael M. Martin
Brendan P. M. McCabe
Worapree Maneesoonthorn
Christian P. Robert
47
15
0
30 Sep 2014
Reliable ABC model choice via random forests
Reliable ABC model choice via random forests
Pierre Pudlo
Jean-Michel Marin
A. Estoup
J. Cornuet
M. Gautier
Christian P. Robert
67
25
0
24 Jun 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
60
14
0
06 Feb 2014
Approximate Bayesian Computation for a Class of Time Series Models
Approximate Bayesian Computation for a Class of Time Series Models
Ajay Jasra
AI4TS
145
30
0
01 Jan 2014
Approximate Bayesian Computation with composite score functions
Approximate Bayesian Computation with composite score functions
E. Ruli
Nicola Sartori
L. Ventura
69
35
0
28 Nov 2013
Parameter Estimation in Hidden Markov Models with Intractable
  Likelihoods Using Sequential Monte Carlo
Parameter Estimation in Hidden Markov Models with Intractable Likelihoods Using Sequential Monte Carlo
S. Yıldırım
Sumeetpal S. Singh
Thomas Dean
Ajay Jasra
79
36
0
17 Nov 2013
The Rate of Convergence for Approximate Bayesian Computation
The Rate of Convergence for Approximate Bayesian Computation
Stuart Barber
J. Voss
M. Webster
61
80
0
08 Nov 2013
Highly comparative time-series analysis: The empirical structure of time
  series and their methods
Highly comparative time-series analysis: The empirical structure of time series and their methods
Ben D. Fulcher
Max A. Little
N. Jones
AI4TS
94
343
0
03 Apr 2013
Semi-automatic selection of summary statistics for ABC model choice
Semi-automatic selection of summary statistics for ABC model choice
D. Prangle
Paul Fearnhead
M. Cox
P. Biggs
N. French
93
79
0
22 Feb 2013
New Insights Into Approximate Bayesian Computation
New Insights Into Approximate Bayesian Computation
Gérard Biau
Frédéric Cérou
A. Guyader
173
108
0
27 Jul 2012
A Comparative Review of Dimension Reduction Methods in Approximate
  Bayesian Computation
A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation
M. Blum
M. Nunes
D. Prangle
Scott A. Sisson
183
364
0
16 Feb 2012
Relevant statistics for Bayesian model choice
Relevant statistics for Bayesian model choice
Jean-Michel Marin
N. Pillai
Christian P. Robert
Judith Rousseau
67
144
0
21 Oct 2011
Expectation-Propagation for Likelihood-Free Inference
Expectation-Propagation for Likelihood-Free Inference
Simon Barthelmé
Nicolas Chopin
80
85
0
29 Jul 2011
Constructing Summary Statistics for Approximate Bayesian Computation:
  Semi-automatic ABC
Constructing Summary Statistics for Approximate Bayesian Computation: Semi-automatic ABC
Paul Fearnhead
D. Prangle
82
87
0
07 Apr 2010
Approximate Bayesian Computation: a nonparametric perspective
Approximate Bayesian Computation: a nonparametric perspective
M. Blum
185
240
0
03 Apr 2009
Non-linear regression models for Approximate Bayesian Computation
Non-linear regression models for Approximate Bayesian Computation
M. Blum
O. François
215
484
0
24 Sep 2008
ABC likelihood-freee methods for model choice in Gibbs random fields
ABC likelihood-freee methods for model choice in Gibbs random fields
Aude Grelaud
Christian P. Robert
Jean-Michel Marin
F. Rodolphe
Jean-François Taly
182
167
0
17 Jul 2008
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