Uses of Class
gov.sandia.cognition.statistics.distribution.GammaDistribution

Packages that use GammaDistribution

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

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

Fields in gov.sandia.cognition.statistics.bayesian declared as GammaDistribution

Modifier and Type	Field and Description
protected GammaDistribution	DirichletProcessMixtureModel.alphaInverseSampler Samples a new alpha-inverse.

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

Methods in gov.sandia.cognition.statistics.bayesian.conjugate with parameters of type GammaDistribution

Modifier and Type	Method and Description
double	ExponentialBayesianEstimator.computeEquivalentSampleSize(GammaDistribution belief)
double	GammaInverseScaleBayesianEstimator.computeEquivalentSampleSize(GammaDistribution belief)
double	PoissonBayesianEstimator.computeEquivalentSampleSize(GammaDistribution belief)
ExponentialBayesianEstimator.Parameter	ExponentialBayesianEstimator.createParameter(ExponentialDistribution conditional, GammaDistribution prior)
GammaInverseScaleBayesianEstimator.Parameter	GammaInverseScaleBayesianEstimator.createParameter(GammaDistribution conditional, GammaDistribution prior)
PoissonBayesianEstimator.Parameter	PoissonBayesianEstimator.createParameter(PoissonDistribution conditional, GammaDistribution prior)
ParetoDistribution	ExponentialBayesianEstimator.createPredictiveDistribution(GammaDistribution posterior)
NegativeBinomialDistribution	PoissonBayesianEstimator.createPredictiveDistribution(GammaDistribution posterior)
void	ExponentialBayesianEstimator.update(GammaDistribution belief, java.lang.Double data)
void	GammaInverseScaleBayesianEstimator.update(GammaDistribution belief, java.lang.Double data)
void	PoissonBayesianEstimator.update(GammaDistribution belief, java.lang.Number value)

Constructors in gov.sandia.cognition.statistics.bayesian.conjugate with parameters of type GammaDistribution

Constructor and Description
ExponentialBayesianEstimator(ExponentialDistribution conditional, GammaDistribution prior) Creates a new instance of ExponentialBayesianEstimator
ExponentialBayesianEstimator(GammaDistribution prior) Creates a new instance of ExponentialBayesianEstimator
GammaInverseScaleBayesianEstimator(double shape, GammaDistribution prior) Creates a new instance of GammaInverseScaleBayesianEstimator
GammaInverseScaleBayesianEstimator(GammaDistribution conditional, GammaDistribution prior) Creates a new instance of GammaInverseScaleBayesianEstimator
Parameter(ExponentialDistribution conditional, GammaDistribution prior) Creates a new instance of Parameter
Parameter(GammaDistribution conditional, GammaDistribution prior) Creates a new instance of Parameter
Parameter(PoissonDistribution conditional, GammaDistribution prior) Creates a new instance
PoissonBayesianEstimator(GammaDistribution belief) Creates a new instance of PoissonBayesianEstimator
PoissonBayesianEstimator(PoissonDistribution conditional, GammaDistribution prior) Creates a new instance of PoissonBayesianEstimator

Constructor parameters in gov.sandia.cognition.statistics.bayesian.conjugate with type arguments of type GammaDistribution

Constructor and Description
ExponentialBayesianEstimator(BayesianParameter<java.lang.Double,ExponentialDistribution,GammaDistribution> parameter) Creates a new instance of ExponentialBayesianEstimator
GammaInverseScaleBayesianEstimator(BayesianParameter<java.lang.Double,GammaDistribution,GammaDistribution> parameter) Creates a new instance of GammaInverseScaleBayesianEstimator
GammaInverseScaleBayesianEstimator(BayesianParameter<java.lang.Double,GammaDistribution,GammaDistribution> parameter) Creates a new instance of GammaInverseScaleBayesianEstimator
PoissonBayesianEstimator(BayesianParameter<java.lang.Double,PoissonDistribution,GammaDistribution> parameter) Creates a new instance

Uses of GammaDistribution in gov.sandia.cognition.statistics.distribution

Subclasses of GammaDistribution in gov.sandia.cognition.statistics.distribution

Modifier and Type	Class and Description
static class	GammaDistribution.CDF CDF of the Gamma distribution
static class	GammaDistribution.PDF Closed-form PDF of the Gamma distribution

Methods in gov.sandia.cognition.statistics.distribution that return GammaDistribution

Modifier and Type	Method and Description
GammaDistribution	GammaDistribution.clone()
GammaDistribution	GammaDistribution.MomentMatchingEstimator.learn(java.util.Collection<? extends java.lang.Double> data)
GammaDistribution	GammaDistribution.WeightedMomentMatchingEstimator.learn(java.util.Collection<? extends WeightedValue<? extends java.lang.Double>> data)
static GammaDistribution	GammaDistribution.MomentMatchingEstimator.learn(double mean, double variance) Computes the Gamma distribution describes by the given moments

Constructors in gov.sandia.cognition.statistics.distribution with parameters of type GammaDistribution

Constructor and Description
CDF(GammaDistribution other) Copy constructor
GammaDistribution(GammaDistribution other) Copy constructor
PDF(GammaDistribution other) Copy constructor