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stat.ME2026
Restricted Spatial Regression is Reasonable Statistical Practice: Clarifications, Interpretations, and New Developments
Jonathan R. Bradley
The spatial linear mixed model (SLMM) consists of fixed and spatial random effects that may be linearly dependent. Partially motivated as a means to address potential issues with c…
stat.ME2025
A Criterion for Aggregation Error for Multivariate Spatial Data
Ranadeep Daw, Jonathan R. Bradley, Christopher K. Wikle +1
The criterion for aggregation error (CAGE) is an important metric that aims to measure errors that arise in multiscale (or multi-resolution) spatial data, referred to as the modifi…
stat.ME2024
Incorporating Subsampling into Bayesian Models for High-Dimensional Spatial Data
Sudipto Saha, Jonathan R. Bradley
Additive spatial statistical models with weakly stationary process assumptions have become standard in spatial statistics. However, one disadvantage of such models is the computati…