A divide-and-conquer sequential Monte Carlo sampler is proposed for chained Markov melding to enable sampling from tree-structured joint models with an arbitrary number of submodels.
Hooten and Devin S
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Chained Markov melding using divide and conquer sequential Monte Carlo
A divide-and-conquer sequential Monte Carlo sampler is proposed for chained Markov melding to enable sampling from tree-structured joint models with an arbitrary number of submodels.