Uses of Interface
gov.sandia.cognition.statistics.bayesian.conjugate.ConjugatePriorBayesianEstimatorPredictor

Packages that use ConjugatePriorBayesianEstimatorPredictor

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 ConjugatePriorBayesianEstimatorPredictor in gov.sandia.cognition.statistics.bayesian.conjugate

Classes in gov.sandia.cognition.statistics.bayesian.conjugate that implement ConjugatePriorBayesianEstimatorPredictor

Modifier and Type	Class and Description
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	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	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