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Functional Principal Component Analysis of Spatiotemporal Point Processes With Applications in Disease Surveillance
In disease surveillance applications, the disease events are modeled by spatio-temporal point processes. We propose a new class of semiparametric generalized linear mixed model for such data, where the event rate is related to some known risk factors and some unknown latent random effects. We model the latent spatio-temporal process …