3 papers
stat.AP2025
Detecting gene-environment interactions to guide personalized intervention: boosting distributional regression for polygenic scores
Qiong Wu, Hannah Klinkhammer, Kiran Kunwar +3
Polygenic risk scores can be used to model the individual genetic liability for human traits. Current methods primarily focus on modeling the mean of a phenotype neglecting the var…
stat.ME2024
Enhanced variable selection for boosting sparser and less complex models in distributional copula regression
Annika Strömer, Nadja Klein, Christian Staerk +3
Structured additive distributional copula regression allows to model the joint distribution of multivariate outcomes by relating all distribution parameters to covariates. Estimati…
stat.ME2022
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…