Seiji Kajita

Compositionally-warped additive mixed modeling for a wide variety of non-Gaussian spatial data

2021 · arXiv (Cornell University)

As with the advancement of geographical information systems, non-Gaussian spatial data sets are getting larger and more diverse. This study develops a general framework for fast and flexible non-Gaussian regression, especially for spatial/spatiotemporal modeling. The …