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Interface Summary | |
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ConditionalDistribution<T> | Interface for conditional densities, e.g. p(x|y) |
EvaluatableDistribution<T> | Interface for distributions that can be evaluated for each realization x of its random variable X. |
FirstOrderMoment<T> | Interface for classes that provide a first order moment. |
IndependentlyEvaluatableDistribution<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. |
IndependentSamplingDistribution<T> | Interface for densities with independent variables, where components of a sample can be drawn independently. |
IntegrableDistribution<T> | Interface for distributions with distribution functions that can be evaluated for each realization x of its random variable X. |
LogEvaluatableDistribution<T> | Interface for distributions that can be evaluated for each realization x of its random variable X. |
LogIndependentlyEvaluatableDistribution<T> | Interface for densities p(X) with independent variables in X, that can be evaluated (natural logarithm) for each element in the realization x of its random variable X. |
LogProbabilityDensityFunction | Interface for multivariate distributions that allow evaluation of the natural logarithm of their probability density function. |
LogProbabilityMassFunction | Interface for univariate distributions based on log-probability mass functions |
ProbabilityDensityFunction | Interface for multivariate distributions that allow evaluation of their probability density function. |
ProbabilityMassFunction | Interface for univariate distributions based on probability mass functions |
SamplingDistribution<T> | Interface for densities from which samples can be drawn. |
SecondOrderCentralMoment<T> | Interface for classes that provide a second order central moment. |
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