Uses of Package
com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.metropolis

Packages that use com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.metropolis

Package	Description
com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.hybrid
com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.metropolis

Classes in com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.metropolis used by com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.hybrid

Class and Description
AbstractMetropolis The Metropolis algorithm is a Markov Chain Monte Carlo algorithm, which requires only a function f proportional to the PDF from which we wish to sample.

Classes in com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.metropolis used by com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.metropolis

Class and Description
AbstractMetropolis The Metropolis algorithm is a Markov Chain Monte Carlo algorithm, which requires only a function f proportional to the PDF from which we wish to sample.
MetropolisHastings.ProposalDensityFunction Defines the density of a proposal function, i.e.