A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems.
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
|Title:||A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems|
|Keywords:||Science & Technology, Technology, Computer Science, Information Systems, Engineering, Electrical & Electronic, Computer Science, Engineering, COMPUTER SCIENCE, INFORMATION SYSTEMS, ENGINEERING, ELECTRICAL & ELECTRONIC, Data assimilation, Signal processing, Nonlinear smoothing, Variational approximation, Bayesian computation, DATA ASSIMILATION, APPROXIMATIONS, MODEL|
|UCL classification:||UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Maths and Physical Sciences
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