Geometry and Dynamics for Markov Chain Monte Carlo.
Alessandro BarpFrançois-Xavier BriolAnthony D. KennedyMark A. GirolamiPublished in: CoRR (2017)
Keyphrases
- markov chain monte carlo
- parameter estimation
- markov chain
- generative model
- posterior distribution
- high dimensional state space
- markov chain monte carlo sampling
- posterior probability
- monte carlo
- bayesian inference
- particle filter
- particle filtering
- approximate inference
- three dimensional
- bayesian framework
- probability distribution
- data association
- model selection
- computer vision
- pairwise
- bayesian networks