Probabilistic modeling

Distributions

Create the distribution of the maximum of independent distributions

Create a maximum entropy statistics distribution

Create a conditional random vector

Create a conditional distribution

Create your own distribution given its quantile function

Create a Bayes distribution

Create a mixture of PDFs

Create an extreme value distribution

Create and draw scalar distributions

Create a random mixture

Truncate a distribution

Create and draw multivariate distributions

Generate random variates by inverting the CDF

Transform a distribution

Overview of univariate distribution management

Distribution manipulation

Quick start guide

Create a customized distribution or copula

Draw minimum volume level sets

Copulas

Create a copula

Extract the copula from a distribution

Assemble copulas

Create the ordinal sum of copulas

Random Vectors

Composite random vector

Create a random vector

Create a random vector

Stochastic_processes

Create a functional basis process

Add a trend to a process

Export a field to VTK

Create a parametric spectral density function

Create a gaussian process from a cov. model using HMatrix

Aggregate processes

Create a stationary covariance model

Create a white noise process

Create a custom covariance model

Create a discrete Markov chain process

Use the Box-Cox transformation

Manipulate a time series

Create a stationary covariance model

Create a normal process

Create a random walk process

Create a spectral model

Draw a field

Create a process from random vectors and processes

Sample trajectories from a Gaussian Process with correlated outputs

Draw fields

Create and manipulate an ARMA process

Trend computation

Compare covariance models

Create a mesh