gov.sandia.cognition.statistics

Interface ProbabilityFunction<DataType>

Type Parameters:

DataType - Type of data that can be sampled from the distribution, and also the input to the evaluate method.

All Superinterfaces:

java.lang.Cloneable, CloneableSerializable, ComputableDistribution<DataType>, Distribution<DataType>, Evaluator<DataType,java.lang.Double>, java.io.Serializable

All Known Subinterfaces:

DataDistribution.PMF<KeyType>, ProbabilityDensityFunction<DataType>, ProbabilityMassFunction<DataType>, UnivariateProbabilityDensityFunction

All Known Implementing Classes:

AdaptiveRejectionSampling.UpperEnvelope, BernoulliDistribution.PMF, BetaBinomialDistribution.PMF, BetaDistribution.PDF, BinomialDistribution.PMF, CategoricalDistribution.PMF, CauchyDistribution.PDF, ChineseRestaurantProcess.PMF, ChiSquareDistribution.PDF, DefaultDataDistribution.PMF, DeterministicDistribution.PMF, DirichletDistribution.PDF, ExponentialDistribution.PDF, GammaDistribution.PDF, GeometricDistribution.PMF, InverseGammaDistribution.PDF, InverseWishartDistribution.PDF, LaplaceDistribution.PDF, LogisticDistribution.PDF, LogNormalDistribution.PDF, MixtureOfGaussians.PDF, MultinomialDistribution.PMF, MultivariateGaussian.PDF, MultivariateMixtureDensityModel.PDF, MultivariatePolyaDistribution.PMF, MultivariateStudentTDistribution.PDF, NegativeBinomialDistribution.PMF, NormalInverseGammaDistribution.PDF, NormalInverseWishartDistribution.PDF, ParetoDistribution.PDF, PoissonDistribution.PMF, ScalarDataDistribution.PMF, ScalarMixtureDensityModel.PDF, StudentTDistribution.PDF, UniformDistribution.PDF, UniformIntegerDistribution.PMF, UnivariateGaussian.PDF, WeibullDistribution.PDF, YuleSimonDistribution.PMF

public interface ProbabilityFunction<DataType>
extends ComputableDistribution<DataType>, Evaluator<DataType,java.lang.Double>

A Distribution that has an evaluate method that indicates p(x), such as a probability density function or a probability mass function (but NOT a cumulative distribution function).

Since:

3.0

Author:

Kevin R. Dixon

Method Summary

Modifier and Type	Method and Description
double	logEvaluate(DataType input) Evaluate the natural logarithm of the distribution function.

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

getProbabilityFunction

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

sample, sample, sampleInto

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

clone

Methods inherited from interface gov.sandia.cognition.evaluator.Evaluator

evaluate

Method Detail

logEvaluate

double logEvaluate(DataType 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 to be evaluated

Returns:

Natural logarithm of the distribution function.