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Negative association, ordering and convergence of resampling methods
v1v2v3 (latest)

Negative association, ordering and convergence of resampling methods

6 July 2017
Mathieu Gerber
Nicolas Chopin
N. Whiteley
ArXiv (abs)PDFHTML

Papers citing "Negative association, ordering and convergence of resampling methods"

35 / 35 papers shown
Title
Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows
Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows
Francesca R. Crucinio
Sahani Pathiraja
48
0
0
06 Jun 2025
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo
M. Karamanis
U. Seljak
76
0
0
30 Jul 2024
PASOA- PArticle baSed Bayesian Optimal Adaptive design
PASOA- PArticle baSed Bayesian Optimal Adaptive design
Jacopo Iollo
Christophe Heinkelé
Pierre Alliez
Florence Forbes
83
2
0
11 Feb 2024
Particle Denoising Diffusion Sampler
Particle Denoising Diffusion Sampler
Angus Phillips
Hai-Dang Dau
M. Hutchinson
Valentin De Bortoli
George Deligiannidis
Arnaud Doucet
DiffM
132
30
0
09 Feb 2024
Properties of Marginal Sequential Monte Carlo Methods
Properties of Marginal Sequential Monte Carlo Methods
F. R. Crucinio
A. M. Johansen
49
3
0
06 Mar 2023
An overview of differentiable particle filters for data-adaptive
  sequential Bayesian inference
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference
Xiongjie Chen
Yunpeng Li
78
15
0
19 Feb 2023
A divide and conquer sequential Monte Carlo approach to high dimensional
  filtering
A divide and conquer sequential Monte Carlo approach to high dimensional filtering
F. R. Crucinio
A. M. Johansen
51
3
0
25 Nov 2022
On backward smoothing algorithms
On backward smoothing algorithms
Hai-Dang Dau
Nicolas Chopin
59
10
0
03 Jul 2022
Computational Doob's h-transforms for Online Filtering of Discretely
  Observed Diffusions
Computational Doob's h-transforms for Online Filtering of Discretely Observed Diffusions
Nicolas Chopin
Andras Fulop
J. Heng
Alexandre Hoang Thiery
60
1
0
07 Jun 2022
Conditional particle filters with bridge backward sampling
Conditional particle filters with bridge backward sampling
Santeri Karppinen
Sumeetpal S. Singh
M. Vihola
82
8
0
27 May 2022
On resampling schemes for particle filters with weakly informative
  observations
On resampling schemes for particle filters with weakly informative observations
Nicolas Chopin
Sumeetpal S. Singh
Tomás Soto
M. Vihola
56
8
0
18 Mar 2022
The divide-and-conquer sequential Monte Carlo algorithm: theoretical
  properties and limit theorems
The divide-and-conquer sequential Monte Carlo algorithm: theoretical properties and limit theorems
Juan Kuntz
F. R. Crucinio
A. M. Johansen
73
11
0
29 Oct 2021
Divide-and-Conquer Fusion
Divide-and-Conquer Fusion
Ryan S.Y. Chan
M. Pollock
A. M. Johansen
Gareth O. Roberts
47
2
0
14 Oct 2021
Unbiased simulation of rare events in continuous time
Unbiased simulation of rare events in continuous time
James Hodgson
A. M. Johansen
M. Pollock
16
0
0
16 Feb 2021
Sequential Monte Carlo algorithms for agent-based models of disease
  transmission
Sequential Monte Carlo algorithms for agent-based models of disease transmission
Nianqiao P. Ju
J. Heng
Pierre E. Jacob
21
10
0
28 Jan 2021
Population Quasi-Monte Carlo
Population Quasi-Monte Carlo
Chaofan Huang
V. Roshan
Simon Mak
56
7
0
26 Dec 2020
A Particle Method for Solving Fredholm Equations of the First Kind
A Particle Method for Solving Fredholm Equations of the First Kind
F. R. Crucinio
Arnaud Doucet
A. M. Johansen
26
4
0
21 Sep 2020
An invitation to sequential Monte Carlo samplers
An invitation to sequential Monte Carlo samplers
Chenguang Dai
J. Heng
Pierre E. Jacob
N. Whiteley
129
68
0
23 Jul 2020
A Global Stochastic Optimization Particle Filter Algorithm
A Global Stochastic Optimization Particle Filter Algorithm
Mathieu Gerber
Randal Douc
45
4
0
09 Jul 2020
Simple conditions for convergence of sequential Monte Carlo genealogies
  with applications
Simple conditions for convergence of sequential Monte Carlo genealogies with applications
Suzie Brown
Paul A. Jenkins
A. M. Johansen
Jere Koskela
74
5
0
30 Jun 2020
Stratification and Optimal Resampling for Sequential Monte Carlo
Stratification and Optimal Resampling for Sequential Monte Carlo
Yichao Li
Wenshuo Wang
Ke Deng
Jun S. Liu
44
6
0
04 Apr 2020
Generalized Bayesian Filtering via Sequential Monte Carlo
Generalized Bayesian Filtering via Sequential Monte Carlo
Ayman Boustati
Ömer Deniz Akyildiz
Theodoros Damoulas
A. M. Johansen
65
4
0
23 Feb 2020
Properties of Chromy's sampling procedure
Properties of Chromy's sampling procedure
G. Chauvet
13
0
0
23 Dec 2019
Sequential Ensemble Transform for Bayesian Inverse Problems
Sequential Ensemble Transform for Bayesian Inverse Problems
Aaron Myers
Alexandre Hoang Thiery
Kainan Wang
T. Bui-Thanh
68
5
0
20 Sep 2019
Multilevel Sequential Importance Sampling for Rare Event Estimation
Multilevel Sequential Importance Sampling for Rare Event Estimation
Fabian Wagner
J. Latz
I. Papaioannou
E. Ullmann
60
21
0
17 Sep 2019
Particle Methods for Stochastic Differential Equation Mixed Effects
  Models
Particle Methods for Stochastic Differential Equation Mixed Effects Models
Imke Botha
Robert Kohn
Christopher C. Drovandi
51
21
0
25 Jul 2019
A scalable optimal-transport based local particle filter
A scalable optimal-transport based local particle filter
Matthew M. Graham
Alexandre Hoang Thiery
OT
20
3
0
03 Jun 2019
Application of the interacting particle system method to piecewise
  deterministic Markov processes used in reliability
Application of the interacting particle system method to piecewise deterministic Markov processes used in reliability
Hassane Chraïbi
A. Dutfoy
T. Galtier
Josselin Garnier
13
2
0
22 May 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
Optimal input potential functions in the interacting particle system
  method
Optimal input potential functions in the interacting particle system method
Hassane Chraïbi
A. Dutfoy
T. Galtier
Josselin Garnier
18
7
0
26 Nov 2018
Global consensus Monte Carlo
Global consensus Monte Carlo
Lewis J. Rendell
A. M. Johansen
Anthony Lee
N. Whiteley
82
40
0
24 Jul 2018
A practical example for the non-linear Bayesian filtering of model
  parameters
A practical example for the non-linear Bayesian filtering of model parameters
Matthieu Bulté
J. Latz
E. Ullmann
36
1
0
23 Jul 2018
Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
R. Salomone
Leah F. South
A. M. Johansen
Christopher C. Drovandi
Dirk P. Kroese
109
34
0
10 May 2018
Asymptotic genealogies of interacting particle systems with an
  application to sequential Monte Carlo
Asymptotic genealogies of interacting particle systems with an application to sequential Monte Carlo
Jere Koskela
Paul A. Jenkins
A. M. Johansen
Dario Spanó
60
13
0
05 Apr 2018
Controlled Sequential Monte Carlo
Controlled Sequential Monte Carlo
J. Heng
A. Bishop
George Deligiannidis
Arnaud Doucet
105
74
0
28 Aug 2017
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