Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Interacting Particle Markov Chain Monte Carlo   We introduce interacting particle Markov chain Monte Carlo (iPMCMC), a PMCMC
method based on an interacting pool of standard and conditional sequential
Monte Carlo samplers. Like related methods, iPMCMC is a Markov chain Monte
Carlo sampler on an extended space. We present empirical results that show
significant improvements in mixing rates relative to both non-interacting PMCMC
samplers, and a single PMCMC sampler with an equivalent memory and
computational budget. An additional advantage of the iPMCMC method is that it
is suitable for distributed and multi-core architectures.

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The categories of this paper are: hep-th
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The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
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The categories of this paper are: nlin
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The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
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The categories of this paper are: hep-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: q-bio
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The categories of this paper are: chao-dyn
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The categories of this paper are: chem-ph
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The categories of this paper are: physics
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The categories of this paper are: q-alg
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The categories of this paper are: solv-int