breeze.stats.distributions

A Bernoulli distribution represents a distribution over weighted coin flips

The Beta distribution, which is the conjugate prior for the Bernoulli distribution

A binomial distribution returns how many coin flips out of n are heads, where numYes is the probability of any one coin being heads.

The Cauchy-distribution

Chi-Squared distribution with k degrees of freedom.

Represents a continuous Distribution. Why T? just in case.

Represents an unnormalized probability distribution.

Represents a Dirichlet distribution, the conjugate prior to the multinomial.

Provides several defaults for Dirichlets, one for Arrays and one for Counters.

Represents a discrete Distribution.

The F-distribution - ratio of two scaled chi^2 variables

Represents a Gamma distribution. E[X] = shape * scale

Represents a Gaussian distribution over a single real variable.

The Geometric distribution calculates the number of trials until the first success, which happens with probability p.

Trait representing conjugate priors. See Dirichlet for an example.

The Hypergeometric-distribution - ratio of two scaled chi^2 variables

http://en.wikipedia.org/wiki/Laplace_distribution

The Levy-distribution - ratio of two scaled chi^2 variables

A log normal distribution is distributed such that log X ~ Normal(\mu, \sigma)

The Logarithmic distribution

Interface for distributions that can report on some of their moments

Represents a Multinomial distribution over elements. You can make a distribution over any breeze.linalg.QuasiTensor, which includes DenseVectors and Counters.

Provides routines to create Multinomials

Represents a Gaussian distribution over a single real variable.

Negative Binomial Distribution

http://en.wikipedia.org/wiki/Laplace_distribution

Represents a Poisson random variable.

Represents a Polya distribution, a.k.a Dirichlet compound Multinomial distribution see http://en.wikipedia.org/wiki/Multivariate_Polya_distribution

A Rand that changes based on previous draws.

A trait for monadic distributions. Provides support for use in for-comprehensions

Provides a number of random generators, with random seed set to some function of system time and identity hashcode of some object

Provides standard combinators and such to use to compose new Rands.

Implements Student's T distribution http://en.wikipedia.org/wiki/Student's_t-distribution

An Apache-compatible RandomGenerator that creates a new RandomGenerator per thread. The thunk should be thread-safe, using atomics or something.

The Triangular-distribution - ratio of two scaled chi^2 variables

The Weibull-distribution - ratio of two scaled chi^2 variables

Represents a Von Mises distribution, which is a distribution over angles.

Also known as the inverse Gaussian Distribution

The Weibull-distribution - ratio of two scaled chi^2 variables