When is Eaton's Markov chain irreducible?

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dc.creatorHobert, James P.
dc.creatorTan, Aixin
dc.creatorLiu, Ruitao
dc.date2007-09-04
dc.date.accessioned2026-07-07T08:28:58Z
dc.date.available2026-07-07T08:28:58Z
dc.descriptionConsider a parametric statistical model $P(\mathrm{d}x|θ)$ and an improper prior distribution $ν(\mathrm{d}θ)$ that together yield a (proper) formal posterior distribution $Q(\mathrm{d}θ|x)$. The prior is called strongly admissible if the generalized Bayes estimator of every bounded function of $θ$ is admissible under squared error loss. Eaton [Ann. Statist. 20 (1992) 1147--1179] has shown that a sufficient condition for strong admissibility of $ν$ is the local recurrence of the Markov chain whose transition function is $R(θ,\mathrm{d}η)=\int Q(\mathrm{d}η|x)P(\mathrm {d}x|θ)$. Applications of this result and its extensions are often greatly simplified when the Markov chain associated with $R$ is irreducible. However, establishing irreducibility can be difficult. In this paper, we provide a characterization of irreducibility for general state space Markov chains and use this characterization to develop an easily checked, necessary and sufficient condition for irreducibility of Eaton's Markov chain. All that is required to check this condition is a simple examination of $P$ and $ν$. Application of the main result is illustrated using two examples.
dc.descriptionPublished at http://dx.doi.org/10.3150/07-BEJ6191 in the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
dc.identifierhttps://arxiv.org/abs/0709.0448
dc.identifierhttp://arxiv.org/abs/0709.0448
dc.identifierBernoulli 2007, Vol. 13, No. 3, 641-652
dc.identifierdoi:10.3150/07-BEJ6191
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/137806
dc.subjectStatistics Theory
dc.titleWhen is Eaton's Markov chain irreducible?
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