Approximate Bayesian Computation for Smoothing
Work
Year: 2014
Type: article
Abstract: We consider a method for approximate inference in hidden Markov models (HMMs). The method circumvents the need to evaluate conditional densities of observations given the hidden states. It may be cons... more
Institutions University College London, National University of Singapore, University of Cambridge, Université de Bordeaux, Imperial College London
Cites: 29
Cited by: 27
Related to: 10
FWCI: 3.053
Citation percentile (by year/subfield): 89.17
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green