73 citations · 180 across the 9 of their papers we have counts for
3 papers · 1 filter
Controlling false discoveries in high-dimensional situations: Boosting with stability selection
Benjamin Hofner, Luigi Boccuto, Markus Göker
Modern biotechnologies often result in high-dimensional data sets with much more variables than observations (n p). These data sets pose new challenges to statistical analysi…
gamboostLSS: An R Package for Model Building and Variable Selection in the GAMLSS Framework
Benjamin Hofner, Andreas Mayr, Matthias Schmid
Generalized additive models for location, scale and shape (GAMLSS) are a flexible class of regression models that allow to model multiple parameters of a distribution function, suc…
A Unified Framework of Constrained Regression
Benjamin Hofner, Thomas Kneib, Torsten Hothorn
Generalized additive models (GAMs) play an important role in modeling and understanding complex relationships in modern applied statistics. They allow for flexible, data-driven est…