gov.sandia.cognition.statistics

Interface UnivariateProbabilityDensityFunction

All Superinterfaces:

java.lang.Cloneable, CloneableSerializable, ClosedFormComputableDistribution<java.lang.Double>, ClosedFormDistribution<java.lang.Double>, ClosedFormUnivariateDistribution<java.lang.Double>, ComputableDistribution<java.lang.Double>, Distribution<java.lang.Double>, DistributionWithMean<java.lang.Double>, Evaluator<java.lang.Double,java.lang.Double>, ProbabilityDensityFunction<java.lang.Double>, ProbabilityFunction<java.lang.Double>, ScalarFunction<java.lang.Double>, java.io.Serializable, SmoothUnivariateDistribution, UnivariateDistribution<java.lang.Double>, UnivariateScalarFunction, Vectorizable

All Known Implementing Classes:

BetaDistribution.PDF, CauchyDistribution.PDF, ChiSquareDistribution.PDF, ExponentialDistribution.PDF, GammaDistribution.PDF, InverseGammaDistribution.PDF, LaplaceDistribution.PDF, LogisticDistribution.PDF, LogNormalDistribution.PDF, ParetoDistribution.PDF, ScalarMixtureDensityModel.PDF, StudentTDistribution.PDF, UniformDistribution.PDF, UnivariateGaussian.PDF, WeibullDistribution.PDF

public interface UnivariateProbabilityDensityFunction
extends SmoothUnivariateDistribution, ProbabilityDensityFunction<java.lang.Double>, UnivariateScalarFunction

A PDF that takes doubles as input. Most PDFs will inherit from this interface.

Since:

3.0

Author:

Kevin R. Dixon

Method Summary

Modifier and Type	Method and Description
UnivariateProbabilityDensityFunction	getProbabilityFunction() Gets the distribution function associated with this Distribution, either the PDF or PMF.
double	logEvaluate(double input) Evaluate the natural logarithm of the distribution function.

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

getCDF, getMean, sampleAsDouble, sampleAsDoubles, sampleInto

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

getMaxSupport, getMeanAsDouble, getMinSupport, getVariance

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

sample, sample, sampleInto

Methods inherited from interface gov.sandia.cognition.math.matrix.Vectorizable

clone, convertFromVector, convertToVector

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

logEvaluate

Methods inherited from interface gov.sandia.cognition.math.UnivariateScalarFunction

evaluate, evaluate, evaluateAsDouble

Method Detail

getProbabilityFunction

UnivariateProbabilityDensityFunction getProbabilityFunction()

Description copied from interface: ComputableDistribution

Gets the distribution function associated with this Distribution, either the PDF or PMF.

Specified by:

getProbabilityFunction in interface ComputableDistribution<java.lang.Double>

Specified by:

getProbabilityFunction in interface ProbabilityDensityFunction<java.lang.Double>

Specified by:

getProbabilityFunction in interface SmoothUnivariateDistribution

Returns:

Distribution function associated with this Distribution.

logEvaluate

double logEvaluate(double input)

Evaluate the natural logarithm of the distribution function. This is sometimes more efficient than evaluating the distribution function itself, and when evaluating the product of many independent or exchangeable samples.

Parameters:

input - The input value.

Returns:

The natural logarithm of the distribution function.