In many application areas, data are collected on a count or binary response with spatial
covariate information. In this article, we introduce a new class of generalized geoadditive …

The livestock sector in rural Colombia is critical for employment and food security but is
heavily affected by climate and its change. There is a need for solutions to address key …

Being able to predict which children will develop social-emotional problems is important for
targeting interventions and efficiently allocating resources to preschools. We used the …

In this article, we introduce a new class of nonparametric regression models, called
generalized spatially varying coefficient models (GSVCMs), for data distributed over …

Motivated by recent work of analyzing data in the biomedical imaging studies, we consider a
class of image-on-scalar regression models for imaging responses and scalar predictors …