The divide-and-conquer sequential Monte Carlo algorithm: theoretical properties and limit theorems

29 October 2021

Papers citing "The divide-and-conquer sequential Monte Carlo algorithm: theoretical properties and limit theorems"

7 / 7 papers shown

Title
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm Eli Sennesh Hao Wu Tommaso Salvatori 32 0 0 11 Aug 2024
PASOA- PArticle baSed Bayesian Optimal Adaptive design Jacopo Iollo Christophe Heinkelé Pierre Alliez Florence Forbes 13 1 0 11 Feb 2024
Using Autodiff to Estimate Posterior Moments, Marginals and Samples Sam Bowyer Thomas Heap Laurence Aitchison 27 1 0 26 Oct 2023
A divide and conquer sequential Monte Carlo approach to high dimensional filtering F. R. Crucinio A. M. Johansen 18 3 0 25 Nov 2022
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother Adrien Corenflos Nicolas Chopin Simo Särkkä 19 7 0 04 Feb 2022
Divide-and-Conquer Fusion Ryan S.Y. Chan M. Pollock A. M. Johansen Gareth O. Roberts 11 2 0 14 Oct 2021
Product-form estimators: exploiting independence to scale up Monte Carlo Juan Kuntz F. R. Crucinio A. M. Johansen 18 11 0 23 Feb 2021