INPUT
MODELLING
In many uncertainty quantification problems, the sources of uncertainty are represented by complex probabilistic models (random vectors). UQLab offers a powerful and extendible set of tools to represent and sample from complex multivariate distributions
Learn how to specify a random vector and draw samples using various sampling strategies.
Learn how to specify marginal distributions for the elements of a random vector and a Gaussian copula.
Easy plug-in of MATLAB-based models and third-party software
In many uncertainty quantification problems, the sources of uncertainty are represented by complex probabilistic models (random vectors). UQLab offers a powerful and extendible set of tools to represent and sample from complex multivariate distributions
Learn how to specify a random vector and draw samples using various sampling strategies.
Learn how to specify marginal distributions for the elements of a random vector and a Gaussian copula.