gov.sandia.cognition.statistics.bayesian.conjugate

Class UnivariateGaussianMeanVarianceBayesianEstimator.Parameter

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.util.AbstractNamed

gov.sandia.cognition.statistics.bayesian.AbstractBayesianParameter<Vector,UnivariateGaussian,NormalInverseGammaDistribution>

gov.sandia.cognition.statistics.bayesian.conjugate.UnivariateGaussianMeanVarianceBayesianEstimator.Parameter

All Implemented Interfaces:

BayesianParameter<Vector,UnivariateGaussian,NormalInverseGammaDistribution>, DistributionParameter<Vector,UnivariateGaussian>, CloneableSerializable, Named, NamedValue<Vector>, java.io.Serializable, java.lang.Cloneable

Enclosing class:

UnivariateGaussianMeanVarianceBayesianEstimator

public static class UnivariateGaussianMeanVarianceBayesianEstimator.Parameter
extends AbstractBayesianParameter<Vector,UnivariateGaussian,NormalInverseGammaDistribution>

Parameter for this conjugate prior estimator.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static java.lang.String	NAME Name of the parameter, "meanAndVariance".

Fields inherited from class gov.sandia.cognition.statistics.bayesian.AbstractBayesianParameter

conditionalDistribution

Fields inherited from class gov.sandia.cognition.util.AbstractNamed

name

Constructor Summary

Constructors

Constructor and Description
Parameter(UnivariateGaussian conditional, NormalInverseGammaDistribution prior) Creates a new instance

Method Summary

Modifier and Type	Method and Description
Vector	getValue() Gets the value stored in the name-value pair.
void	setValue(Vector value) Sets the value of the parameter.

Methods inherited from class gov.sandia.cognition.statistics.bayesian.AbstractBayesianParameter

clone, getConditionalDistribution, getParameterPrior, setConditionalDistribution, setParameterPrior, updateConditionalDistribution

Methods inherited from class gov.sandia.cognition.util.AbstractNamed

getName, setName, toString

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

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

getName

Field Detail

NAME

public static final java.lang.String NAME

Name of the parameter, "meanAndVariance".

See Also:

Constant Field Values

Constructor Detail

Parameter

public Parameter(UnivariateGaussian conditional,
                 NormalInverseGammaDistribution prior)

Creates a new instance

Parameters:

prior - Default conjugate prior.

conditional - Conditional distribution of the conjugate prior.

Method Detail

setValue

public void setValue(Vector value)

Description copied from interface: DistributionParameter

Sets the value of the parameter.

Parameters:

value - Parameter to set.

getValue

public Vector getValue()

Description copied from interface: NamedValue

Gets the value stored in the name-value pair.

Returns:

The value.