Fisher information bounds and applications to SDEs with small noise

Fuente: arXiv
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Autori principali: Dung, Nguyen Tien, Hang, Nguyen Thu
Natura: Preprint
Pubblicazione: 2024
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author Dung, Nguyen Tien
Hang, Nguyen Thu
author_facet Dung, Nguyen Tien
Hang, Nguyen Thu
contents In this paper, we first establish general bounds on the Fisher information distance to the class of normal distributions of Malliavin differentiable random variables. We then study the rate of Fisher information convergence in the central limit theorem for the solution of small noise stochastic differential equations and its additive functionals. We also show that the convergence rate is of optimal order.
format Preprint
id arxiv_https___arxiv_org_abs_2408_09797
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Fisher information bounds and applications to SDEs with small noise
Dung, Nguyen Tien
Hang, Nguyen Thu
Probability
In this paper, we first establish general bounds on the Fisher information distance to the class of normal distributions of Malliavin differentiable random variables. We then study the rate of Fisher information convergence in the central limit theorem for the solution of small noise stochastic differential equations and its additive functionals. We also show that the convergence rate is of optimal order.
title Fisher information bounds and applications to SDEs with small noise
topic Probability
url https://arxiv.org/abs/2408.09797