bayesian-inference

Embedded Model Error Representation and Propagation in Climate Models

Talk

Structural Error Quantification in Physical Models

Talk

Inference of Reaction Rate Parameters based on Summary Statistics from Experiments

We present the results of an application of Bayesian inference and maximum entropy methods for the estimation of the joint probability density for the Arrhenius rate parameters of the rate coefficient of the H2/O2-mechanism chain branching reaction …

Forward and Inverse Uncertainty Quantification for ALM Single Point Model

Poster

Model Error Quantification in Turbulent Combustion Computations

Talk

Probabilistic Numerics

Talk

Embedded Model Error Representation

Talk

The Uncertainty Quantification Toolkit (UQTk)

The UQ Toolkit (UQTk) is a collection of tools for uncertainty quantification, ranging from intrusive and nonintrusive forward propagation of uncertainty to inverse problems and sensitivity analysis. This chapter first outlines the UQTk design …

Density Estimation Framework for Model Error Quantification

Talk

Density Estimation Framework for Model Error Estimation

Poster