bayesian-inference

Efficient Uncertainty Quantification Methodologies for High-Dimensional Climate Land Models

In this report, we proposed, examined and implemented approaches for performing efficient uncertainty quantification (UQ) in climate land models. Specifically, we applied Bayesian compressive sensing framework to a polynomial chaos spectral …

Sources of Cell-to-Cell Variability in Canonical Nuclear Factor-κB (NF-κB) Signaling Pathway Inferred from Single Cell Dynamic Images

The canonical nuclear factor-κB (NF-κB) signaling pathway controls a gene network important in the cellular inflammatory response. Upon activation, NF-κB/RelA is released from cytoplasmic inhibitors, from where it translocates into the nucleus, …

Predictability Assessment in Stochastic Reaction Networks

Talk

Real-Time Characterization of Partially Observed Epidemics using Surrogate Models

We present a statistical method, predicated on the use of surrogate models, for the 'real-time' characterization of partially observed epidemics. Observations consist of counts of symptomatic patients, diagnosed with the disease, that may be …

Uncertainty Quantification given Discontinuous Climate Model Response and a Limited Number of Model Runs

Poster

Uncertainty Quantification in Climate Modeling

Talk

Uncertainty Quantification Methodologies for Climate Model Data with Discontinuities

Talk

Advanced Tools for Uncertainty Quantification in Climate Modeling

Talk

Bayesian Methods for Discontinuity Detection in Climate Model Predictions

Poster

Uncertainty Quantification and Data Assimilation - Applications in Stochastic Reaction Networks and Climate Modeling

Talk