Gibbs Sampling, Exponential Families and Orthogonal Polynomials

dc.creatorDiaconis, Persi
dc.creatorKhare, Kshitij
dc.creatorSaloff-Coste, Laurent
dc.date2008-08-28
dc.date.accessioned2026-07-07T10:06:19Z
dc.date.available2026-07-07T10:06:19Z
dc.descriptionWe give families of examples where sharp rates of convergence to stationarity of the widely used Gibbs sampler are available. The examples involve standard exponential families and their conjugate priors. In each case, the transition operator is explicitly diagonalizable with classical orthogonal polynomials as eigenfunctions.
dc.descriptionThis paper commented in: [arXiv:0808.3855], [arXiv:0808.3856], [arXiv:0808.3859], [arXiv:0808.3861]. Rejoinder in [arXiv:0808.3864]. Published in at http://dx.doi.org/10.1214/07-STS252 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0808.3852
dc.identifierhttp://arxiv.org/abs/0808.3852
dc.identifierStatistical Science 2008, Vol. 23, No. 2, 151-178
dc.identifierdoi:10.1214/07-STS252
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/170287
dc.subjectMethodology
dc.subjectClassical Analysis and ODEs
dc.titleGibbs Sampling, Exponential Families and Orthogonal Polynomials
dc.typetext

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