11 citations · 17 across the 8 of their papers we have counts for
3 papers · 1 filter
A Balanced Statistical Boosting Approach for GAMLSS via New Step Lengths
Alexandra Daub, Andreas Mayr, Boyao Zhang +1
Component-wise gradient boosting algorithms are popular for their intrinsic variable selection and implicit regularization, which can be especially beneficial for very flexible mod…
Boosting Distributional Copula Regression for Bivariate Binary, Discrete and Mixed Responses
Guillermo Briseño Sanchez, Nadja Klein, Hannah Klinkhammer +1
Motivated by challenges in the analysis of biomedical data and observational studies, we develop statistical boosting for the general class of bivariate distributional copula regre…
Boosting Multivariate Structured Additive Distributional Regression Models
Annika Strömer, Nadja Klein, Christian Staerk +2
We develop a model-based boosting approach for multivariate distributional regression within the framework of generalized additive models for location, scale, and shape. Our approa…