## Uses of Interfacedev.nm.stat.distribution.multivariate.MultivariateProbabilityDistribution

• Packages that use MultivariateProbabilityDistribution
Package Description
dev.nm.stat.distribution.multivariate
dev.nm.stat.distribution.multivariate.exponentialfamily
dev.nm.stat.evt.evd.bivariate
• ### Uses of MultivariateProbabilityDistribution in dev.nm.stat.distribution.multivariate

Subinterfaces of MultivariateProbabilityDistribution in dev.nm.stat.distribution.multivariate
Modifier and Type Interface Description
interface  BivariateProbabilityDistribution
A bivariate or joint probability distribution for X_1, X_2 is a probability distribution that gives the probability that each of X_1, X_2, ... falls in any particular range or discrete set of values specified for that variable.
Classes in dev.nm.stat.distribution.multivariate that implement MultivariateProbabilityDistribution
Modifier and Type Class Description
class  AbstractBivariateProbabilityDistribution
class  DirichletDistribution
The Dirichlet distribution (after Peter Gustav Lejeune Dirichlet), often denoted Dir(a), is a family of continuous multivariate probability distributions parametrized by a vector a of positive reals.
class  MultinomialDistribution
class  MultivariateNormalDistribution
The multivariate Normal distribution or multivariate Gaussian distribution, is a generalization of the one-dimensional (univariate) Normal distribution to higher dimensions.
class  MultivariateTDistribution
The multivariate T distribution or multivariate Student distribution, is a generalization of the one-dimensional (univariate) Student's t-distribution to higher dimensions.
• ### Uses of MultivariateProbabilityDistribution in dev.nm.stat.distribution.multivariate.exponentialfamily

Modifier and Type Method Description
MultivariateProbabilityDistribution MultivariateExponentialFamily.getDistribution​(Vector theta)
Construct a probability distribution in the exponential family.
• ### Uses of MultivariateProbabilityDistribution in dev.nm.stat.evt.evd.bivariate

Subinterfaces of MultivariateProbabilityDistribution in dev.nm.stat.evt.evd.bivariate
Modifier and Type Interface Description
interface  BivariateEVD
Bivariate Extreme Value (BEV) distribution is the joint distribution of component-wise maxima of two-dimensional iid random vectors.
Classes in dev.nm.stat.evt.evd.bivariate that implement MultivariateProbabilityDistribution
Modifier and Type Class Description
class  AbstractBivariateEVD
class  BivariateEVDAsymmetricLogistic
The bivariate asymmetric logistic model.
class  BivariateEVDAsymmetricMixed
The asymmetric mixed model.
class  BivariateEVDAsymmetricNegativeLogistic
The bivariate asymmetric negative logistic model.
class  BivariateEVDBilogistic
The bilogistic model.
class  BivariateEVDColesTawn
The Coles-Tawn model.
class  BivariateEVDHuslerReiss
The Husler-Reiss model.
class  BivariateEVDLogistic
The bivariate logistic model.
class  BivariateEVDNegativeBilogistic
The negative bilogistic model.
class  BivariateEVDNegativeLogistic
The bivariate negative logistic model.