Optimal Filtering for Interacting Particle Systems

Fuente: arXiv
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Autores principales: Dorogovtsev, Andrey, Han, Yuecai, Hlyniana, Kateryna, Li, Yuhang
Formato: Preprint
Publicado: 2024
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author Dorogovtsev, Andrey
Han, Yuecai
Hlyniana, Kateryna
Li, Yuhang
author_facet Dorogovtsev, Andrey
Han, Yuecai
Hlyniana, Kateryna
Li, Yuhang
contents In this paper, we study the optimal filtering problem for a interacting particle system generated by stochastic differential equations with interaction. By using Malliavin calculus, we construct the differential equation of the covariance process and transform the filter problem to an optimal control problem. Finally we give the necessary condition that the coefficient of the optimal filter should satisfy
format Preprint
id arxiv_https___arxiv_org_abs_2409_00126
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimal Filtering for Interacting Particle Systems
Dorogovtsev, Andrey
Han, Yuecai
Hlyniana, Kateryna
Li, Yuhang
Optimization and Control
Probability
In this paper, we study the optimal filtering problem for a interacting particle system generated by stochastic differential equations with interaction. By using Malliavin calculus, we construct the differential equation of the covariance process and transform the filter problem to an optimal control problem. Finally we give the necessary condition that the coefficient of the optimal filter should satisfy
title Optimal Filtering for Interacting Particle Systems
topic Optimization and Control
Probability
url https://arxiv.org/abs/2409.00126