Symmetric KL-divergence by Stein’s method

IF 1.1 2区 数学 Q3 STATISTICS & PROBABILITY
Liu-Quan Yao , Song-Hao Liu
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引用次数: 0

Abstract

In this paper, we consider the symmetric KL-divergence between the sum of independent variables and a Gaussian distribution, and obtain a convergence rate of order Olnnn. The proof is based on Stein’s method. The convergence rate of order O1n and O1n are also obtained under higher moment condition.
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来源期刊
Stochastic Processes and their Applications
Stochastic Processes and their Applications 数学-统计学与概率论
CiteScore
2.90
自引率
7.10%
发文量
180
审稿时长
23.6 weeks
期刊介绍: Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests. Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.
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