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/*
* File: BayesianParameter.java
* Authors: Kevin R. Dixon
* Company: Sandia National Laboratories
* Project: Cognitive Foundry
*
* Copyright Mar 2, 2010, Sandia Corporation.
* Under the terms of Contract DE-AC04-94AL85000, there is a non-exclusive
* license for use of this work by or on behalf of the U.S. Government.
* Export of this program may require a license from the United States
* Government. See CopyrightHistory.txt for complete details.
*
*/
package gov.sandia.cognition.statistics.bayesian;
import gov.sandia.cognition.statistics.DistributionParameter;
import gov.sandia.cognition.statistics.Distribution;
import java.util.Random;
/**
* A parameter from a Distribution that has an assumed Distribution of
* values.
* @param
* Type of parameter that changes the behavior of the conditional distribution.
* @param
* Type of parameterized distribution that generates observations.
* @param
* Assumed underlying distribution of parameters of the conditional distribution.
* @author Kevin R. Dixon
* @since 3.0
*/
public interface BayesianParameter,PriorType extends Distribution>
extends DistributionParameter
{
/**
* Gets the Distribution of values that the parameter is assumed to take.
* @return
* Distribution of values that the parameter is assumed to take.
*/
public PriorType getParameterPrior();
/**
* Updates the conditional distribution by sampling from the prior
* distribution and assigning through the DistributionParameter.
* @param random
* Random number generator to use in sampling.
*/
public void updateConditionalDistribution(
Random random );
}