3 papers
stat.ME2026
An Analysis of High-Dimensional Land-Water Transitions in the Great Lakes via a Bayesian Discrepancy Model for Multinomial Data
Seulki Lee, Jonathan R. Bradley
Global water-level systems have undergone large changes in recent years. Moderate Resolution Imaging Spectroradiometer (MODIS) land cover data can be used to monitor and understand…
stat.ME2025
An Efficient Class of Bayesian Generalized Quadratic Nonlinear Dynamic Models with Application to Birth Rate Monitoring
Madelyn Clinch, Jonathan R. Bradley
Many real-world spatio-temporal processes exhibit nonlinear dynamics that can often be described through stochastic partial differential equations. These models are flexible and sc…
stat.ME2024
Exact Bayesian Inference for Multivariate Spatial Data of Any Size with Application to Air Pollution Monitoring
Madelyn Clinch, Jonathan R. Bradley
Fine particulate matter and aerosol optical thickness are of interest to atmospheric scientists for understanding air quality and its various health/environmental impacts. The avai…