2 papers
stat.AP2022
A Bayesian Hierarchical Model Framework to Quantify Uncertainty of Tropical Cyclone Precipitation Forecasts
Stephen A. Walsh, Marco A. R. Ferreira, Dave Higdon +1
Tropical cyclones present a serious threat to many coastal communities around the world. Many numerical weather prediction models provide deterministic forecasts with limited measu…
stat.ME2022
Spatiotemporal models for Poisson areal data with an application to the AIDS epidemic in Rio de Janeiro
Marco A. R. Ferreira, Juan C. Vivar
We present a class of spatiotemporal models for Poisson areal data suitable for the analysis of emerging infectious diseases. These models assume Poisson observations related throu…