Coarse-to-fine spatial GLMM for scalable prediction and multiscale analysis

Daisuke Murakami, Alexis Comber, Takahiro Yoshida +3

We develop a coarse-to-fine generalized linear mixed model (CF-GLMM) for scalable spatial prediction of exponential-family responses. CF-GLMM extends coarse-to-fine spatial modelin…