Reversibility of elliptical slice sampling revisited

Fuente: arXiv
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Autori principali: Hasenpflug, Mareike, Telezhnikov, Viacheslav, Rudolf, Daniel
Natura: Preprint
Pubblicazione: 2023
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author Hasenpflug, Mareike
Telezhnikov, Viacheslav
Rudolf, Daniel
author_facet Hasenpflug, Mareike
Telezhnikov, Viacheslav
Rudolf, Daniel
contents We extend elliptical slice sampling, a Markov chain transition kernel suggested in Murray, Adams and MacKay 2010, to infinite-dimensional separable Hilbert spaces and discuss its well-definedness. We point to a regularity requirement, provide an alternative proof of the desirable reversibility property and show that it induces a positive semi-definite Markov operator. Crucial within the proof of the formerly mentioned results is the analysis of a shrinkage Markov chain that may be interesting on its own.
format Preprint
id arxiv_https___arxiv_org_abs_2301_02426
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Reversibility of elliptical slice sampling revisited
Hasenpflug, Mareike
Telezhnikov, Viacheslav
Rudolf, Daniel
Statistics Theory
Machine Learning
Computation
65C40, 60J22, 65C05
We extend elliptical slice sampling, a Markov chain transition kernel suggested in Murray, Adams and MacKay 2010, to infinite-dimensional separable Hilbert spaces and discuss its well-definedness. We point to a regularity requirement, provide an alternative proof of the desirable reversibility property and show that it induces a positive semi-definite Markov operator. Crucial within the proof of the formerly mentioned results is the analysis of a shrinkage Markov chain that may be interesting on its own.
title Reversibility of elliptical slice sampling revisited
topic Statistics Theory
Machine Learning
Computation
65C40, 60J22, 65C05
url https://arxiv.org/abs/2301.02426