Approximating Message Lengths of Hierarchical Bayesian Models Using Posterior Sampling.
Daniel F. SchmidtEnes MakalicJohn L. HopperPublished in: Australasian Conference on Artificial Intelligence (2016)
Keyphrases
- hierarchical bayesian models
- markov chain monte carlo
- bayesian models
- probability distribution
- mixture model
- bayesian framework
- probabilistic model
- posterior distribution
- gaussian process
- random sampling
- sample size
- sampling algorithm
- monte carlo
- decision trees
- parameter estimation
- markov chain
- hidden markov models
- spatio temporal