Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains

Statistics & Probability Letters(2018)

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摘要
Piecewise Deterministic Monte Carlo algorithms enable simulation from a posterior distribution, whilst only needing to access a sub-sample of data at each iteration. We show how they can be implemented in settings where the parameters live on a restricted domain.
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关键词
MCMC,Bayesian statistics,Piecewise deterministic Markov processes,Logistic regression
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