Bayesian modeling

Exposure Notification System activity as a leading indicator for SARS-COV-2 caseload forecasting

We show that smartphone based Exposure Notification systems can significantly improve the accuracy of short-term forecasting of COVID-19 caseloads.

Bayesian inference for finite populations under spatial process settings

We develop a Bayesian model–based approach to finite population estimation accounting for spatial dependence. Our innovation here is a framework that achieves inference for finite population quantities in spatial process settings. A key distinction …