Population-based reversible jump Markov chain Monte Carlo
We present an extension of population-based Markov chain Monte Carlo to the transdimensional case. A major challenge is that of simulating from high- and transdimensional target measures. In such cases, Markov chain Monte Carlo methods may not adequately traverse the support of the target; the simul...
Main Authors: | Jasra, A, Stephens, D, Holmes, C |
---|---|
Format: | Journal article |
Language: | English |
Published: |
2007
|
Similar Items
-
Minimum-entropy data partitioning using reversible jump Markov chain Monte Carlo
by: Roberts, S, et al.
Published: (2001) -
Minimum-entropy data clustering using reversible jump Markov Chain Monte Carlo
by: Roberts, S, et al.
Published: (2001) -
Bayesian mixture modelling in geochronology via Markov chain Monte Carlo
by: Jasra, A, et al.
Published: (2006) -
An efficient interpolation technique for jump proposals in reversible-jump Markov chain Monte Carlo calculations
by: Farr, W. M., et al.
Published: (2016) -
Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
by: Jasra, A, et al.
Published: (2005)