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Particle MCMC algorithms and architectures for accelerating inference in state-space models
Work
Year: 2016
Type: article
Abstract: Particle Markov Chain Monte Carlo (pMCMC) is a stochastic algorithm designed to generate samples from a probability distribution, when the density of the distribution does not admit a closed form expr... more
Cites: 37
Cited by: 24
Related to: 10
FWCI: 2.405
Citation percentile (by year/subfield): 91.04
Sustainable Development Goal Affordable and clean energy
Open Access status: hybrid
APC paid (est): $2,964
Grant IDS 097816/Z/11/A, EP/I012036/1