UQ[py]Lab Examples

Probabilistic modeling - sampling strategies

Probabilistic modeling - marginals and Gaussian copula

Probabilistic modeling - marginals and Pair copula

Probabilistic modeling - marginals and Vine copula

Probabilistic modeling - block independence

Probabilistic modeling - marginals inference

Probabilistic modeling - marginals and copula inference

Basic modelling - Model definition

Basic modelling - Model parameters

Basic modelling - Multiple outputs

Polynomial chaos expansions - calculation strategies

Polynomial chaos expansions - experimental design options

Polynomial chaos expansions - estimation of statistical moments

Polynomial chaos expansions - multiple outputs

Polynomial chaos expansions - PCE from existing data

Polynomial chaos expansions - PCE with arbitrary distributions

Polynomial chaos expansions - Bootstrap PCE

Kriging - 1D example

Kriging - Estimation methods and optimisation strategies

Kriging - Trend types

Kriging - Multiple input dimensions

Kriging - Existing data 1: Truss

Kriging - Existing data 2: Boston housing

Kriging - Multiple outputs

Kriging - Gaussian process regression

PC-Kriging - Basic usage

PC-Kriging - Multiple input dimensions

PC-Kriging - Multiple outputs

PC-Kriging - Truss dataset

Sensitivity analysis - Methods overview

Sensitivity analysis - Sobol' indices

Sensitivity analysis - High-dimensional Sobol'

Sensitivity analysis - Multiple outputs

Sensitivity analysis - Dependent inputs

Reliability analysis - Simple R-S limit state function

Reliability analysis - 2D hat function

Reliability analysis - System reliability analysis

Reliability analysis - Time-variant reliability

Reliability analysis - Active learning: Basic usage

Reliability analysis - Active learning: Advanced usage

Reliability analysis - Active learning: Asynchronous learning

Inversion - Simple beam calibration

Bayesian linear regression

Inversion - Calibration of a hydrological model

Inversion - Predator-prey model calibration

Inversion - Calibration with multiple forward models

Inversion - Surrogate model

Inversion - Sampling free methods