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09/08/2023
A Comparison between Markov Switching Zero-inflated and Hurdle Models for Spatio-temporal Infectious Disease Counts
In epidemiological studies, zero-inflated and hurdle models are commonly...
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08/29/2023
Small Area Estimation with Random Forests and the LASSO
We consider random forests and LASSO methods for model-based small area ...
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04/25/2023
The impact of directly observed therapy on the efficacy of Tuberculosis treatment: A Bayesian multilevel approach
We propose and discuss a Bayesian procedure to estimate the average trea...
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03/15/2023
A Bayesian Non-Stationary Heteroskedastic Time Series Model for Multivariate Critical Care Data
We propose a multivariate GARCH model for non-stationary health time ser...
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02/05/2023
A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions
Recurrent COVID-19 outbreaks have placed immense strain on the hospital ...
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10/31/2022
Bayesian Modeling of Dynamic Behavioral Change During an Epidemic
For many infectious disease outbreaks, the at-risk population changes th...
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03/13/2022
On Data Augmentation in Point Process Models Based on Thinning
Many models for point process data are defined through a thinning proced...
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01/30/2022
Causal inference under mis-specification: adjustment based on the propensity score
We study Bayesian approaches to causal inference via propensity score re...
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10/14/2021
Dynamical non-Gaussian modelling of spatial processes
Spatio-temporal processes in environmental applications are often assume...
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09/21/2021
A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects
In disease mapping, the relative risk of a disease is commonly estimated...
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02/03/2021