Reversible jump MCMC for two-state multivariate poisson mixtures

被引：0

作者：

Lahtinen, J ^{[1
]}

Lampinen, J ^{[1
]}

机构：

[1] Helsinki Univ Technol, Lab Computat Engn, FIN-02015 Helsinki, Finland

来源：

KYBERNETIKA | 2003年 / 39卷 / 03期

关键词：

Bayesian inference; fault diagnostics; Poisson processes; reversible-jump MCMC;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The problem of identifying the source from observations from a Poisson process can be encountered in fault diagnostics systems based on event counters. The identification of the inner state of the system must be made based on observations of counters which entail only information on the total sum of some events from a dual process which has made a transition from an intact to a broken state at some unknown time. Here we demonstrate the general identifiability of this problem in presence of multiple counters.

引用

页码：307 / 315

页数：9

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