51 citations · 112 across the 18 of their papers we have counts for
18 papers
A Bayesian framework for multilevel data under model mis-specification
Widemberg S. Nobre, David A. Stephens, Alexandra M. Schmidt +1
We propose a Bayesian framework for uncertainty quantification from the perspective that the working model is mis-specified in settings of a multilevel data-generating process. We…
Small Area Estimation with Random Forests and the LASSO
Victoire Michal, Jon Wakefield, Alexandra M. Schmidt +3
We consider random forests and LASSO methods for model-based small area estimation when the number of areas with sampled data is a small fraction of the total areas for which estim…
The impact of directly observed therapy on the efficacy of Tuberculosis treatment: A Bayesian multilevel approach
Widemberg S. Nobre, Alexandra M. Schmidt, Erica E. M. Moodie +1
We propose and discuss a Bayesian procedure to estimate the average treatment effect (ATE) for multilevel observations in the presence of confounding. We focus on situations where…
A Bayesian Non-Stationary Heteroskedastic Time Series Model for Multivariate Critical Care Data
Zayd Omar, David A. Stephens, Alexandra M. Schmidt +1
We propose a multivariate GARCH model for non-stationary health time series by modifying the variance of the observations of the standard state space model. The proposed model prov…
A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions
Dirk Douwes-Schultz, Alexandra M. Schmidt, Yannan Shen +1
Recurrent COVID-19 outbreaks have placed immense strain on the hospital system in Quebec. We develop a Bayesian three-state coupled Markov switching model to analyze COVID-19 outbr…
Bayesian Modeling of Dynamic Behavioral Change During an Epidemic
Caitlin Ward, Rob Deardon, Alexandra M. Schmidt
For many infectious disease outbreaks, the at-risk population changes their behavior in response to the outbreak severity, causing the transmission dynamics to change in real-time.…