research
∙
04/08/2021
A Hierarchical Bayesian Model for Stochastic Spatiotemporal SIR Modeling and Prediction of COVID-19 Cases and Hospitalizations
Most COVID-19 predictive modeling efforts use statistical or mathematica...
share
research
∙
06/13/2020
Bayesian Calibration of Computer Models with Informative Failures
There are many practical difficulties in the calibration of computer mod...
research
∙
11/06/2019
Modeling Material Stress Using Integrated Gaussian Markov Random Fields
The equations of a physical constitutive model for material stress withi...
research
∙
02/08/2018