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
 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