Chapters

Here is a list of all modules:

[detail level 123]

▼Forward Uncertainty Quantification
▼Polynomial Chaos Expansions
Polynomials	Tools for constructing multivariate (orthogonal) polynomial expansions
Quadrature	Tools for constructing univariate and multivariate quadrature rules
▼Gaussian Processes	Tools for defining and working with Gaussian processes
Covariance Kernels	Covariance kernels for defining Gaussian Processes
Mean Functions
GP_Observations	Tools for defining linear observations of Gaussian Processes
▼Modeling
Model Components and the ModPiece class
User-Defined Models
Combining Components: Model Graphs
▼Sampling
▼Markov chain Monte Carlo
Getting Started: Defining an MCMC Algorithm
Dimension-Independent MCMC
Markov Chain Diagnostics
Multi-Index MCMC	Tools for defininig and running multilevel and multiindex MCMC algorithms
MCMC Proposal Distributions
MCMC Kernels	Transition kernels used in MCMC algorithms
Exceptions