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Product-form estimators: exploiting independence to scale up Monte Carlo
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Product-form estimators: exploiting independence to scale up Monte Carlo

Juan Kuntz
F. R. Crucinio
A. M. Johansen
ArXiv (abs)PDFHTML

Papers citing "Product-form estimators: exploiting independence to scale up Monte Carlo"

6 / 6 papers shown
Title
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
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
62
3
0
25 Nov 2022
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
Adrien Corenflos
Nicolas Chopin
Simo Särkkä
72
7
0
04 Feb 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
83
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
A principled stopping rule for importance sampling
A principled stopping rule for importance sampling
Medha Agarwal
Dootika Vats
Victor Elvira
66
2
0
30 Aug 2021