11 citations · 13 across the 2 of their papers we have counts for
2 papers
stat.ML2014★ 2 cited
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…
stat.CO2014★ 11 cited
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…