| 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 | 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.
|
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