Stein方法的前置生成器比较法

Q1 Mathematics Stochastic Systems Pub Date : 2021-02-24 DOI:10.1287/stsy.2021.0085
Anton Braverman
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引用次数: 7

摘要

本文采用Stein方法中的生成器比较方法来分析马尔可夫链稳态分布与扩散过程之间的差距。“标准”生成器比较方法从扩散的泊松方程开始,主要的技术难点是获得泊松方程解的导数的边界,也称为斯坦因因子边界。本文从马尔可夫链的泊松方程出发,提出了一种新的马尔可夫链模型;我们称之为预许可方法。尽管仍然需要Stein因子界,但它们现在对应于马尔可夫链泊松方程解的有限差,而不是扩散泊松方程的解的导数。在某些情况下,前者更容易获得。我们使用[Formula:see-text]模型作为一个简单的工作示例来说明我们的方法。
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The Prelimit Generator Comparison Approach of Stein’s Method
This paper uses the generator comparison approach of Stein’s method to analyze the gap between steady-state distributions of Markov chains and diffusion processes. The “standard” generator comparison approach starts with the Poisson equation for the diffusion, and the main technical difficulty is to obtain bounds on the derivatives of the solution to the Poisson equation, also known as Stein factor bounds. In this paper we propose starting with the Poisson equation of the Markov chain; we term this the prelimit approach. Although one still needs Stein factor bounds, they now correspond to finite differences of the Markov chain Poisson equation solution rather than the derivatives of the solution to the diffusion Poisson equation. In certain cases, the former are easier to obtain. We use the [Formula: see text] model as a simple working example to illustrate our approach.
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来源期刊
Stochastic Systems
Stochastic Systems Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
3.70
自引率
0.00%
发文量
18
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