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Modeling latent spatio-temporal disease incidence using penalized composite link models
(2022-03-10)
Epidemiological data are frequently recorded at coarse spatio-temporal resolutions to protect confidential information or to summarize it in a compact manner. However, the detailed patterns followed by the source data, ...
A two-stage approach for the spatio-temporal analysis of high-throughput phenotyping data
(2022-02-24)
High throughput phenotyping (HTP) platforms and devices are increasingly used for the characterization of growth and developmental processes for large sets of plant genotypes. Such HTP data require challenging statistical ...