1 citations · 2 across the 3 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
stat.ME2023
A Bayesian approach to identify changepoints in spatio-temporal ordered categorical data: An application to COVID-19 data
Siddharth Rawat, Abe Durrant, Adam Simpson +3
Although there is substantial literature on identifying structural changes for continuous spatio-temporal processes, the same is not true for categorical spatio-temporal data. This…
stat.ME2023
Re-thinking Spatial Confounding in Spatial Linear Mixed Models
Kori Khan, Candace Berrett
In the last two decades, considerable research has been devoted to a phenomenon known as spatial confounding. Spatial confounding is thought to occur when there is multicollinearit…