# Package com.numericalmethod.suanshu.stats.distribution.multivariate

• Interface Summary
Interface Description
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.
MultivariateProbabilityDistribution
A multivariate or joint probability distribution for X, Y, ... is a probability distribution that gives the probability that each of X, Y, ... falls in any particular range or discrete set of values specified for that variable.
• Class Summary
Class Description
AbstractBivariateProbabilityDistribution
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.
MultinomialDistribution
MultivariateNormalDistribution
The multivariate Normal distribution or multivariate Gaussian distribution, is a generalization of the one-dimensional (univariate) Normal distribution to higher dimensions.
MultivariateTDistribution
The multivariate T distribution or multivariate Student distribution, is a generalization of the one-dimensional (univariate) Student's t-distribution to higher dimensions.