A note on Metropolis-Hastings kernels for general state spaces (Q1296614)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: A note on Metropolis-Hastings kernels for general state spaces |
scientific article; zbMATH DE number 1319841
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A note on Metropolis-Hastings kernels for general state spaces |
scientific article; zbMATH DE number 1319841 |
Statements
A note on Metropolis-Hastings kernels for general state spaces (English)
0 references
4 May 2000
0 references
Let \(P(x,dy)\) be a Markov transition kernel on a measurable space \(E\) with a specified invariant distribution \(\pi\). Consider the Hastings-Metropolis kernel \[ P(x,dy)= Q(x,dy)\alpha (x,y)+ \delta_x(dy) \int\bigl(1-\alpha (x,u)\bigr) Q(x,du), \] where \(Q(x,dy)\) is a transition kernel, \(\alpha (x,y): E\times E\to[0,1]\), and \(\delta_x\) is point mass at \(x\). First, necessary and sufficient conditions on \(Q\) and \(\alpha\) are given for the reversibility of this type of kernel. Next, in order to compare the performances of such kernels, a result of \textit{P. H. Peskun} [Biometrika 60, 607-612 (1973; Zbl 0271.62041)] on the ordering of asymptotic variances is extended from finite to general spaces.
0 references
Markov chain Monte Carlo
0 references
mixture kernel
0 references
stochastic simulation
0 references
0 references