A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems.
Yuan ShenCédric ArchambeauDan CornfordManfred OpperJohn Shawe-TaylorRemi Louis BarillecPublished in: J. Signal Process. Syst. (2010)
Keyphrases
- dynamic systems
- markov chain monte carlo methods
- partially observed
- posterior distribution
- discrete event
- complex systems
- qualitative reasoning
- sum product
- consistency based diagnosis
- dynamical systems
- fully bayesian
- model based diagnosis
- linear time invariant
- optical flow
- qualitative models
- image segmentation
- learning algorithm
- latent variables
- monte carlo