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

Interface IndependentlyEvaluatableDistribution<T>

Type Parameters:

T - Random set

All Superinterfaces:

EvaluatableDistribution<T>

All Known Implementing Classes:

AbstractMultiObservationDistributionIndep, MultiObsDistributionIndepGaussians, MultiObsDistributionIndepGaussMix, MultiStateDistributionIndepGaussians, MultiStateLinTransDistributionIndepGaussians

public interface IndependentlyEvaluatableDistribution<T>
extends EvaluatableDistribution<T>

Interface for densities p(X) with independent variables in X, that can be evaluated for each element in the realization x of its random variable X. p(x) = p_1(x_1) * ... * p_n(x_n)

Author:

Oliver Gress

Method Summary

Modifier and Type	Method and Description
double	p(T x, int i) Evaluate p_i(X) at x_i

Methods inherited from interface de.unihalle.informatik.MiToBo.math.distributions.interfaces.EvaluatableDistribution

p

Method Detail

p

double p(T x,
         int i)

Evaluate p_i(X) at x_i

Parameters:

x - realization of random variable X

i - i-th element in x

Returns:

value of p_i(X_i) at x_i