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A rare event approach to high dimensional Approximate Bayesian
  computation

A rare event approach to high dimensional Approximate Bayesian computation

8 November 2016
D. Prangle
R. Everitt
T. Kypraios
ArXivPDFHTML

Papers citing "A rare event approach to high dimensional Approximate Bayesian computation"

23 / 23 papers shown
Title
High-dimensional ABC
High-dimensional ABC
David J. Nott
V. M. Ong
Y. Fan
Scott A. Sisson
21
17
0
27 Feb 2018
Automatic Variational ABC
Automatic Variational ABC
Alexander Moreno
T. Adel
Edward Meeds
James M. Rehg
Max Welling
87
12
0
28 Jun 2016
Asymptotically exact inference in differentiable generative models
Asymptotically exact inference in differentiable generative models
Matthew M. Graham
Amos J. Storkey
BDL
86
33
0
25 May 2016
Pseudo-Marginal Slice Sampling
Pseudo-Marginal Slice Sampling
Iain Murray
Matthew M. Graham
55
37
0
10 Oct 2015
Rare Event Simulation and Splitting for Discontinuous Random Variables
Rare Event Simulation and Splitting for Discontinuous Random Variables
Clément Walter
97
5
0
03 Jul 2015
Optimization Monte Carlo: Efficient and Embarrassingly Parallel
  Likelihood-Free Inference
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference
Edward Meeds
Max Welling
85
35
0
11 Jun 2015
Extending approximate Bayesian computation methods to high dimensions
  via a Gaussian copula model
Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model
Jingjing Li
David J. Nott
Yanan Fan
Scott A. Sisson
101
42
0
16 Apr 2015
Sequential Monte Carlo Samplers for capital allocation under
  copula-dependent risk models
Sequential Monte Carlo Samplers for capital allocation under copula-dependent risk models
Rodrigo S. Targino
G. Peters
P. Shevchenko
66
28
0
05 Oct 2014
Approximate Bayesian Computation by Subset Simulation
Approximate Bayesian Computation by Subset Simulation
M. Chiachío
J. Beck
J. Chiachío
Guillermo Rus-Carlborg
41
101
0
24 Apr 2014
Approximate Bayesian Computation for a Class of Time Series Models
Approximate Bayesian Computation for a Class of Time Series Models
Ajay Jasra
AI4TS
114
30
0
01 Jan 2014
The Rate of Convergence for Approximate Bayesian Computation
The Rate of Convergence for Approximate Bayesian Computation
Stuart Barber
J. Voss
M. Webster
38
80
0
08 Nov 2013
Particle Metropolis-Hastings using gradient and Hessian information
Particle Metropolis-Hastings using gradient and Hessian information
J. Dahlin
Fredrik Lindsten
Thomas B. Schon
72
47
0
04 Nov 2013
On the efficiency of pseudo-marginal random walk Metropolis algorithms
On the efficiency of pseudo-marginal random walk Metropolis algorithms
Chris Sherlock
Alexandre Hoang Thiery
Gareth O. Roberts
Jeffrey S. Rosenthal
52
190
0
27 Sep 2013
Nested particle filters for online parameter estimation in discrete-time
  state-space Markov models
Nested particle filters for online parameter estimation in discrete-time state-space Markov models
Dan Crisan
Joaquín Míguez
62
93
0
08 Aug 2013
New Insights Into Approximate Bayesian Computation
New Insights Into Approximate Bayesian Computation
Gérard Biau
Frédéric Cérou
A. Guyader
99
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
123
362
0
16 Feb 2012
Approximate Bayesian computation and Bayes linear analysis: Towards
  high-dimensional ABC
Approximate Bayesian computation and Bayes linear analysis: Towards high-dimensional ABC
David J. Nott
Yanan Fan
Lucy M. Marshall
Scott A. Sisson
45
52
0
20 Dec 2011
SMC^2: an efficient algorithm for sequential analysis of state-space
  models
SMC^2: an efficient algorithm for sequential analysis of state-space models
Nicolas Chopin
Pierre E. Jacob
O. Papaspiliopoulos
73
356
0
07 Jan 2011
Approximate Bayesian Computational methods
Approximate Bayesian Computational methods
Jean-Michel Marin
Pierre Pudlo
Christian P. Robert
Robin J. Ryder
167
861
0
05 Jan 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
60
87
0
07 Apr 2010
Approximate Bayesian Computation: a nonparametric perspective
Approximate Bayesian Computation: a nonparametric perspective
M. Blum
127
240
0
03 Apr 2009
The pseudo-marginal approach for efficient Monte Carlo computations
The pseudo-marginal approach for efficient Monte Carlo computations
Christophe Andrieu
Gareth O. Roberts
119
890
0
31 Mar 2009
Approximate Bayesian computation (ABC) gives exact results under the
  assumption of model error
Approximate Bayesian computation (ABC) gives exact results under the assumption of model error
Richard D. Wilkinson
87
273
0
20 Nov 2008
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