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

Daisuke Murakami, Alexis Comber, Takahiro Yoshida +3

We develop CF-GLMM, a scalable and covariance-free framework for spatial generalized linear mixed models with exponential-family responses, by extending coarse-to-fine spatial mode…