Ergodicity of the zigzag process
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Publication:2330462
DOI10.1214/18-AAP1453zbMATH Open1467.60020arXiv1712.09875WikidataQ127460364 ScholiaQ127460364MaRDI QIDQ2330462
Author name not available (Why is that?)
Publication date: 22 October 2019
Published in: (Search for Journal in Brave)
Abstract: The zigzag process is a Piecewise Deterministic Markov Process which can be used in a MCMC framework to sample from a given target distribution. We prove the convergence of this process to its target under very weak assumptions, and establish a central limit theorem for empirical averages under stronger assumptions on the decay of the target measure. We use the classical "Meyn-Tweedie" approach. The main difficulty turns out to be the proof that the process can indeed reach all the points in the space, even if we consider the minimal switching rates.
Full work available at URL: https://arxiv.org/abs/1712.09875
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