Stopping Rules for Monte Carlo Methods of Martingale Difference Type

Fuente: arXiv
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Hauptverfasser: Wu, Jiezhong, Kawai, Reiichiro
Format: Preprint
Veröffentlicht: 2025
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author Wu, Jiezhong
Kawai, Reiichiro
author_facet Wu, Jiezhong
Kawai, Reiichiro
contents We establish a practical and easy-to-implement sequential stopping rule for the martingale central limit theorem, focusing on Monte Carlo methods for estimating the mean of a non-iid sequence of martingale difference type. Starting with an impractical scheme based on the standard martingale central limit theorem, we progressively address its limitations from implementation perspectives in the non-asymptotic regime. Along the way, we compare the proposed schemes with their counterparts in the asymptotic regime. The developed framework has potential applications in various domains. Numerical results are provided to demonstrate the effectiveness of the developed stopping rules in terms of reliability and complexity.
format Preprint
id arxiv_https___arxiv_org_abs_2510_22690
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Stopping Rules for Monte Carlo Methods of Martingale Difference Type
Wu, Jiezhong
Kawai, Reiichiro
Statistics Theory
Probability
Methodology
We establish a practical and easy-to-implement sequential stopping rule for the martingale central limit theorem, focusing on Monte Carlo methods for estimating the mean of a non-iid sequence of martingale difference type. Starting with an impractical scheme based on the standard martingale central limit theorem, we progressively address its limitations from implementation perspectives in the non-asymptotic regime. Along the way, we compare the proposed schemes with their counterparts in the asymptotic regime. The developed framework has potential applications in various domains. Numerical results are provided to demonstrate the effectiveness of the developed stopping rules in terms of reliability and complexity.
title Stopping Rules for Monte Carlo Methods of Martingale Difference Type
topic Statistics Theory
Probability
Methodology
url https://arxiv.org/abs/2510.22690