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Forest resampling for distributed sequential Monte Carlo

Forest resampling for distributed sequential Monte Carlo

23 June 2014
Anthony Lee
N. Whiteley
ArXiv (abs)PDFHTML

Papers citing "Forest resampling for distributed sequential Monte Carlo"

14 / 14 papers shown
Title
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
Sequential Ensemble Transform for Bayesian Inverse Problems
Sequential Ensemble Transform for Bayesian Inverse Problems
Aaron Myers
Alexandre Hoang Thiery
Kainan Wang
T. Bui-Thanh
85
5
0
20 Sep 2019
A scalable optimal-transport based local particle filter
A scalable optimal-transport based local particle filter
Matthew M. Graham
Alexandre Hoang Thiery
OT
22
3
0
03 Jun 2019
Particle filter efficiency under limited communication
Particle filter efficiency under limited communication
Deborshee Sen
55
2
0
21 Apr 2019
Elements of Sequential Monte Carlo
Elements of Sequential Monte Carlo
C. A. Naesseth
Fredrik Lindsten
Thomas B. Schon
75
97
0
12 Mar 2019
Finite Sample Complexity of Sequential Monte Carlo Estimators
Finite Sample Complexity of Sequential Monte Carlo Estimators
J. Marion
Joseph Mathews
S. Schmidler
60
7
0
25 Mar 2018
Particle Filters and Data Assimilation
Particle Filters and Data Assimilation
Paul Fearnhead
H. Kunsch
83
82
0
13 Sep 2017
Smoothing with Couplings of Conditional Particle Filters
Smoothing with Couplings of Conditional Particle Filters
Pierre E. Jacob
Fredrik Lindsten
Thomas B. Schon
138
55
0
08 Jan 2017
Anytime Monte Carlo
Anytime Monte Carlo
Lawrence M. Murray
Sumeetpal S. Singh
Anthony Lee
101
6
0
10 Dec 2016
Getting Started with Particle Metropolis-Hastings for Inference in
  Nonlinear Dynamical Models
Getting Started with Particle Metropolis-Hastings for Inference in Nonlinear Dynamical Models
J. Dahlin
Thomas B. Schon
97
25
0
05 Nov 2015
Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture
  Models
Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models
Alexandre Bouchard-Côté
Arnaud Doucet
Andrew Roth
54
20
0
11 Aug 2015
On Particle Methods for Parameter Estimation in State-Space Models
On Particle Methods for Parameter Estimation in State-Space Models
N. Kantas
Arnaud Doucet
Sumeetpal S. Singh
J. Maciejowski
Nicolas Chopin
136
436
0
30 Dec 2014
Theory of Parallel Particle Filters for Hidden Markov Models
Theory of Parallel Particle Filters for Hidden Markov Models
H. Chan
Chiang-Wee Heng
Ajay Jasra
75
3
0
15 Sep 2014
Divide-and-Conquer with Sequential Monte Carlo
Divide-and-Conquer with Sequential Monte Carlo
Fredrik Lindsten
A. M. Johansen
C. A. Naesseth
Bonnie Kirkpatrick
Thomas B. Schon
J. Aston
Alexandre Bouchard-Côté
123
45
0
19 Jun 2014
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