bayesian-inference

Surrogate-enabled Parameter Calibration and Structural Error Estimation in Land Models

Poster

Embedded Model Error Quantification and Propagation in Physical Systems

Talk

Embedded Model Error Representation for Bayesian Model Calibration

Model error estimation remains one of the key challenges in uncertainty quantification and predictive science. For computational models of complex physical systems, model error, also known as structural error or model inadequacy, is often the largest …

Surrogate-enabled Sensitivity Analysis and Parameter Inference of High-Dimensional Models

Talk

Uncertainty Quantification and Propagation for Impurity Migration

Poster

Streamflow, Stomata, and Soil Pits: Sources of Inference for Complex Models with Fast, Robust Uncertainty Quantification

The scale and complexity of environmental and earth systems introduce an array of uncertainties that need to be systematically addressed. In numerical modeling, the ever-increasing complexity of representation of these systems confounds our ability …

Bayesian Inference for Structural Error Quantification

Talk

Bayesian Framework for Structural Uncertainty Estimation of Land Models

Poster

Overview of Uncertainty Quantification Methods for Complex Models

Talk

Overview of Uncertainty Quantification Methods for Complex Models

Poster