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Evaluation of variational and Markov Chain Monte Carlo methods for inference in partially observed stochastic dynamic systems

Shen, Y and Archambeau, C and Cornford, D and Opper, M and Shawe-Taylor, J and Barillec, R (2007) Evaluation of variational and Markov Chain Monte Carlo methods for inference in partially observed stochastic dynamic systems. In: Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP. (pp. 306 - 311).

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Type:Proceedings paper
Title:Evaluation of variational and Markov Chain Monte Carlo methods for inference in partially observed stochastic dynamic systems
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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