State-of-the-Art in Bayesian Changepoint Detection

State-of-the-Art in Bayesian Changepoint Detection
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最先进的贝叶斯变点检测

DOI:
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发表时间:
2010
期刊:
影响因子:
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通讯作者:
G. Moustakides
G. Moustakides
中科院分区:
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文献类型:
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作者:
A. Tartakovsky;G. Moustakides

文献摘要

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摘要我们简要概述了最快(顺序)变点检测的最新技术,并提出了一些新的结果,主要竞争对手的渐近分析和数值分析,如在贝叶斯背景下的CRAMUM,Shiryaev-Roberts和Shiryaev检测程序。
Abstract We provide a brief overview of the state-of-the-art in quickest (sequential) changepoint detection and present some new results on asymptotic and numerical analysis of main competitors such as the CUSUM, Shiryaev–Roberts, and Shiryaev detection procedures in a Bayesian context.