Uses of Class
gov.sandia.cognition.statistics.bayesian.conjugate.AbstractConjugatePriorBayesianEstimator

Packages that use AbstractConjugatePriorBayesianEstimator

Package	Description
gov.sandia.cognition.statistics.bayesian.conjugate	Provides Bayesian estimation routines based on conjugate prior distribution of parameters of specific conditional distributions.

Uses of AbstractConjugatePriorBayesianEstimator in gov.sandia.cognition.statistics.bayesian.conjugate

Subclasses of AbstractConjugatePriorBayesianEstimator in gov.sandia.cognition.statistics.bayesian.conjugate

Modifier and Type	Class and Description
class	BernoulliBayesianEstimator A Bayesian estimator for the parameter of a BernoulliDistribution using the conjugate prior BetaDistribution.
class	BinomialBayesianEstimator A Bayesian estimator for the parameter of a Bernoulli parameter, p, of a BinomialDistribution using the conjugate prior BetaDistribution.
class	ExponentialBayesianEstimator Conjugate prior Bayesian estimator of the "rate" parameter of an Exponential distribution using the conjugate prior Gamma distribution.
class	GammaInverseScaleBayesianEstimator A Bayesian estimator for the scale parameter of a Gamma distribution using the conjugate prior Gamma distribution for the inverse-scale (rate) of the Gamma.
class	MultinomialBayesianEstimator A Bayesian estimator for the parameters of a MultinomialDistribution using its conjugate prior distribution, the DirichletDistribution.
class	MultivariateGaussianMeanBayesianEstimator Bayesian estimator for the mean of a MultivariateGaussian using its conjugate prior, which is also a MultivariateGaussian.
class	MultivariateGaussianMeanCovarianceBayesianEstimator Performs robust estimation of both the mean and covariance of a MultivariateGaussian conditional distribution using the conjugate prior Normal-Inverse-Wishart distribution.
class	PoissonBayesianEstimator A Bayesian estimator for the parameter of a PoissonDistribution using the conjugate prior GammaDistribution.
class	UniformDistributionBayesianEstimator A Bayesian estimator for a conditional Uniform(0,theta) distribution using its conjugate prior Pareto distribution.
class	UnivariateGaussianMeanBayesianEstimator Bayesian estimator for the mean of a UnivariateGaussian using its conjugate prior, which is also a UnivariateGaussian.
class	UnivariateGaussianMeanVarianceBayesianEstimator Computes the mean and variance of a univariate Gaussian using the conjugate prior NormalInverseGammaDistribution

Methods in gov.sandia.cognition.statistics.bayesian.conjugate that return AbstractConjugatePriorBayesianEstimator

Modifier and Type	Method and Description
AbstractConjugatePriorBayesianEstimator<ObservationType,ParameterType,ConditionalType,BeliefType>	AbstractConjugatePriorBayesianEstimator.clone()