Parallel Markov Chain Monte Carlo for Bayesian Hierarchical Models with Big Data, in Two Stages.
Zheng WeiErin M. ConlonPublished in: CoRR (2017)
Keyphrases
- big data
- markov chain monte carlo
- hierarchical models
- generative model
- posterior distribution
- hierarchical model
- posterior probability
- approximate inference
- exact inference
- cloud computing
- parameter estimation
- latent variables
- bayesian inference
- markov chain
- data analysis
- data processing
- data management
- monte carlo
- probabilistic model
- bayesian framework
- particle filter
- social media
- probability distribution
- business intelligence
- learning algorithm
- variational methods
- knowledge discovery
- particle filtering
- semi supervised
- data warehouse
- em algorithm
- maximum a posteriori
- appearance model
- data mining
- hyperparameters
- gaussian process
- prior knowledge
- markov random field
- three dimensional
- least squares