de.unihalle.informatik.MiToBo.math.distributions.interfaces

Interface EvaluatableDistribution<T>

Type Parameters:

T - type of the random variable

All Known Subinterfaces:

IndependentlyEvaluatableDistribution<T>, ProbabilityDensityFunction, ProbabilityMassFunction

All Known Implementing Classes:

AbstractMultiObservationDistribution, AbstractMultiObservationDistributionIndep, AssociationDistribution, AssociationDistributionNN, GaussianDistribution, GaussMixDistribution, GenericDiscreteDistribution, MixtureDistribution, MultiObsDistributionIndepGaussians, MultiObsDistributionIndepGaussMix, MultiStateDistributionIndepGaussians, MultiStateLinTransDistributionIndepGaussians, PoissonDistribution, UniformDistribution

public interface EvaluatableDistribution<T>

Interface for distributions that can be evaluated for each realization x of its random variable X. Evaluation means P(X=x)

Author:

Oliver Gress

Method Summary

Modifier and Type	Method and Description
double	p(T x) Evaluate p(X) at location x.

Method Detail

p

double p(T x)

Evaluate p(X) at location x. P(X=x)

Parameters:

x - realization of random variable X

Returns:

value of p(X) at x