Package dev.nm.stat.hmm.mixture.distribution

Interface Summary

Interface	Description
MixtureDistribution	This is the conditional distribution of the observations in each state (possibly differently parameterized) of a mixture hidden Markov model.

Class Summary

Class	Description
BetaMixtureDistribution	The HMM states use the Beta distribution to model the observations.
BetaMixtureDistribution.Lambda	the Beta distribution parameters
BinomialMixtureDistribution	The HMM states use the Binomial distribution to model the observations.
BinomialMixtureDistribution.Lambda	the Binomial distribution parameters
ExponentialMixtureDistribution	The HMM states use the Exponential distribution to model the observations.
GammaMixtureDistribution	The HMM states use the Gamma distribution to model the observations.
GammaMixtureDistribution.Lambda	the Gamma distribution parameters
LogNormalMixtureDistribution	The HMM states use the Log-Normal distribution to model the observations.
LogNormalMixtureDistribution.Lambda	the log-normal distribution parameters
NormalMixtureDistribution	The HMM states use the Normal distribution to model the observations.
NormalMixtureDistribution.Lambda	the Normal distribution parameters
PoissonMixtureDistribution	The HMM states use the Poisson distribution to model the observations.