distribution

Module path: cuqi.distribution

Classes

Beta	Multivariate beta distribution of independent random variables x_i.
CMRF	Cauchy distribution on the difference between neighboring nodes.
Cauchy	Multivariate Cauchy distribution of independent random variables.
Distribution	Abstract Base Class for Distributions.
DistributionGallery
GMRF	Gaussian Markov random field (GMRF).
Gamma	Represents a multivariate Gamma distribution characterized by shape and rate parameters of independent random variables x_i.
Gaussian	General Gaussian probability distribution.
InverseGamma	Multivariate inverse gamma distribution of independent random variables x_i.
JointDistribution	Joint distribution of multiple variables.
JointGaussianSqrtPrec	Joint Gaussian probability distribution defined by means and sqrt of precision matricies of independent Gaussians.
LMRF	Laplace distribution on the difference between neighboring nodes.
Laplace	Laplace distribution.
Lognormal	Multivariate Lognormal distribution
ModifiedHalfNormal	Represents a modified half-normal (MHN) distribution, a three-parameter family of distributions generalizing the Gamma distribution.
MultipleLikelihoodPosterior	A posterior distribution with multiple likelihoods and a single prior.
Normal	Normal probability distribution.
Posterior	Posterior probability distribution defined by likelihood and prior.
SmoothedLaplace	Smoothed Laplace distribution.
TruncatedNormal	Truncated Normal probability distribution.
UnboundedUniform	Unbounded uniform distribution. This is a special case of the Uniform distribution, where the lower and upper bounds are set to -inf and inf, respectively. This distribution is not normalizable, and therefore cannot be sampled from. It is mainly used for initializing non-informative priors. :param geometry: The geometry of the distribution. If an integer is given, it is interpreted as the dimension of the distribution. If a Geometry object is given, its par_dim attribute is used. :type geometry: int or Geometry.
Uniform
UserDefinedDistribution	Class to wrap user-defined logpdf, gradient, and/or sampling callable into CUQIpy Distribution.