Probabilistic modeling

Distributions

Create a geometric distribution

Create a gaussian distribution

Composite random vector

Create a 2-d gaussian distribution

Random vector manipulation

Create your own distribution given its quantile function

Create a maximum distribution

Draw 2-d distribution graphs

Create a conditional random vector

Create a conditional distribution

Create a discrete random mixture

Create a composed distribution

Draw 1-d distribution graphs

Create a composite distribution

Create a Bayes distribution

Create a random mixture of distributions

Create a mixture of PDFs

Creation of a custom random vector

Transform a distribution

Create a truncated distribution

Generate random variates by inverting the CDF

Overview of univariate distribution management

Distribution manipulation

Draw minimum volume level set in 2D

Create univariate and multivariate distributions: a quick start guide to distributions

Draw minimum volume level set in 1D

Creation of a custom distribution or copula

Copulas

Create a copula

Extract the copula from a distribution

Assemble copulas

Create a maximum entropy statistics distribution

Create the ordinal sum of copulas

Stochastic_processes

Creation of a regular grid

Create an ARMA process

Create a gaussian process from a cov. model using HMatrix

Create a gaussian process from spectral density

Create a gaussian process from a cov. model

Create a functional basis process

Add a trend to a process

Create a parametric spectral density function

Create a stationary covariance model

Aggregate processes

Create a white noise process

Create a custom covariance model

Create a discrete Markov chain process

Time series manipulation

Apply a Box-Cox transformation to a Field

Create a custom stationary covariance model

Process sample manipulation

Create a random walk process

Create a custom spectral model

Field manipulation

Create a process from random vectors and processes

Process manipulation

ARMA process manipulation

Trend computation

Comparison of covariance models for gaussian processes

Creation of a mesh