| Abstract: |
| In this talk, we will discuss Markov chain Monte Carlo methods for heavy-tailed target probability distributions, based on a reversible proposal transition kernel. We will study the dimensionality effect using the high-dimensional asymptotic analysis of Roberts, Gelman, and Gilks. We also study ergodic properties for heavy-tailed target distributions. |
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