Central Limit Theorem for Irregular Discretization Scheme of Multilevel Monte Carlo Method

Fuente: arXiv
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Autori principali: Guo, Yi, Guo, Yuxi, Wang, Hanchao
Natura: Preprint
Pubblicazione: 2025
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author Guo, Yi
Guo, Yuxi
Wang, Hanchao
author_facet Guo, Yi
Guo, Yuxi
Wang, Hanchao
contents In this paper, we study the asymptotic error distribution for a two-level irregular discretization scheme of the solution to the stochastic differential equations (SDE for short) driven by a continuous semimartingale and obtain a central limit theorem for the error processes with the rate $\sqrt{n}$. As an application, in the spirit of the result of Ben Alaya and Kebaier, we get a central limit theorem of the Linderberg-Feller type for the irregular discretization scheme of the multilevel Monte Carlo method.
format Preprint
id arxiv_https___arxiv_org_abs_2502_14395
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Central Limit Theorem for Irregular Discretization Scheme of Multilevel Monte Carlo Method
Guo, Yi
Guo, Yuxi
Wang, Hanchao
Probability
In this paper, we study the asymptotic error distribution for a two-level irregular discretization scheme of the solution to the stochastic differential equations (SDE for short) driven by a continuous semimartingale and obtain a central limit theorem for the error processes with the rate $\sqrt{n}$. As an application, in the spirit of the result of Ben Alaya and Kebaier, we get a central limit theorem of the Linderberg-Feller type for the irregular discretization scheme of the multilevel Monte Carlo method.
title Central Limit Theorem for Irregular Discretization Scheme of Multilevel Monte Carlo Method
topic Probability
url https://arxiv.org/abs/2502.14395