This module contains functionality for all probability distributions supported in :pyUQpy
.
The :pyUQpy.distributions
module is used to define probability distribution objects. These objects possess various methods that allow the user to :
- compute the probability density/mass function
pdf/pmf
, - compute the cumulative distribution function
cdf
, - compute the logarithm of the pdf/pmf
log_pdf/log_pmf
, - return the moments
moments
, - draw independent samples
rvs
- and compute the maximum likelihood estimate of the parameters from data
mle
.
The module contains the following parent classes:
.Distribution
: Parent class to all distributions..Distribution1D
: Parent class to all univariate distributions..DistributionContinuous1D
: Parent class to 1-dimensional continuous probability distributions..DistributionDiscrete1D
: Parent class to 1-dimensional discrete probability distributions..DistributionND
: Parent class to multivariate probability distributions..Copula
: Parent class to copula to model dependency between marginals.
Probability distributions are defined via sub-classing those parent classes.
Note that the various classes of the :pyUQpy.distributions
module are written to be consistent with distributions in the :pyscipy.stats
package Scipy_paper
, to the extent possible while maintaining an extensible, object oriented architecture that is convenient for operating with the other :pyUQpy
modules. All existing distributions and their methods in :pyUQpy
are restructured from the :pyscipy.stats
package.
Parent Distribution Class <distribution_parent> Distributions Continuous 1D <distributions_continuous_1d> Distributions Discrete 1D <distributions_discrete_1d> Copulas <copulas> Distributions ND <distributions_multivariate> User Defined Distributions <user_defined_distributions>