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A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems.

Shen, Y; Archambeau, C; Cornford, D; Opper, M; Shawe-Taylor, J; Barillec, R; (2010) A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems. Signal Processing Systems , 61 , Article 1. 10.1007/s11265-008-0299-y.

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Type:Article
Title:A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems.
DOI:10.1007/s11265-008-0299-y
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Statistical Science

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