gov.sandia.cognition.statistics.bayesian

Interface BayesianParameter<ParameterType,ConditionalType extends Distribution<?>,PriorType extends Distribution<ParameterType>>

Type Parameters:

ParameterType - Type of parameter that changes the behavior of the conditional distribution.

ConditionalType - Type of parameterized distribution that generates observations.

PriorType - Assumed underlying distribution of parameters of the conditional distribution.

All Superinterfaces:

java.lang.Cloneable, CloneableSerializable, DistributionParameter<ParameterType,ConditionalType>, Named, NamedValue<ParameterType>, java.io.Serializable

All Known Implementing Classes:

AbstractBayesianParameter, BernoulliBayesianEstimator.Parameter, BinomialBayesianEstimator.Parameter, DefaultBayesianParameter, ExponentialBayesianEstimator.Parameter, GammaInverseScaleBayesianEstimator.Parameter, MultinomialBayesianEstimator.Parameter, MultivariateGaussianMeanBayesianEstimator.Parameter, MultivariateGaussianMeanCovarianceBayesianEstimator.Parameter, PoissonBayesianEstimator.Parameter, UniformDistributionBayesianEstimator.Parameter, UnivariateGaussianMeanBayesianEstimator.Parameter, UnivariateGaussianMeanVarianceBayesianEstimator.Parameter

public interface BayesianParameter<ParameterType,ConditionalType extends Distribution<?>,PriorType extends Distribution<ParameterType>>
extends DistributionParameter<ParameterType,ConditionalType>

A parameter from a Distribution that has an assumed Distribution of values.

Since:

3.0

Author:

Kevin R. Dixon

Method Summary

Modifier and Type	Method and Description
PriorType	getParameterPrior() Gets the Distribution of values that the parameter is assumed to take.
void	updateConditionalDistribution(java.util.Random random) Updates the conditional distribution by sampling from the prior distribution and assigning through the DistributionParameter.

Methods inherited from interface gov.sandia.cognition.statistics.DistributionParameter

getConditionalDistribution, setValue

Methods inherited from interface gov.sandia.cognition.util.NamedValue

getValue

Methods inherited from interface gov.sandia.cognition.util.Named

getName

Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable

clone

Method Detail

getParameterPrior

PriorType getParameterPrior()

Gets the Distribution of values that the parameter is assumed to take.

Returns:

Distribution of values that the parameter is assumed to take.

updateConditionalDistribution

void updateConditionalDistribution(java.util.Random random)

Updates the conditional distribution by sampling from the prior distribution and assigning through the DistributionParameter.

Parameters:

random - Random number generator to use in sampling.