Research group We are interested in developing scalable methods for fitting generalized additive models with various shape constraints.
We develop and apply statistical methodological and computational tools for fitting shape constrained generalized additive models capable of handling extensive datasets and complex model structures. Our focus extends to models with response distributions beyond conventional cases. In parallel, we actively contribute to the development of open-source software, ensuring the applicability of our methods to scientific and industrial users within relevant fields.
