Uses of Interface
gov.sandia.cognition.statistics.bayesian.MarkovChainMonteCarlo

Packages that use MarkovChainMonteCarlo
gov.sandia.cognition.statistics.bayesian Provides algorithms for computing Bayesian estimates of parameters. 
 

Uses of MarkovChainMonteCarlo in gov.sandia.cognition.statistics.bayesian
 

Classes in gov.sandia.cognition.statistics.bayesian that implement MarkovChainMonteCarlo
 class AbstractMarkovChainMonteCarlo<ObservationType,ParameterType>
          Partial abstract implementation of MarkovChainMonteCarlo.
 class DirichletProcessMixtureModel<ObservationType>
          An implementation of Dirichlet Process clustering, which estimates the number of clusters and the centroids of the clusters from a set of data.
 class MetropolisHastingsAlgorithm<ObservationType,ParameterType>
          An implementation of the Metropolis-Hastings MCMC algorithm, which is the most general formulation of MCMC but can be slow.
 class ParallelDirichletProcessMixtureModel<ObservationType>
          A Parallelized version of vanilla Dirichlet Process Mixture Model learning.