376 citations · 641 across the 11 of their papers we have counts for
3 papers · 1 filter
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…
Extending Statistical Boosting - An Overview of Recent Methodological Developments
Andreas Mayr, Harald Binder, Olaf Gefeller +1
Boosting algorithms to simultaneously estimate and select predictor effects in statistical models have gained substantial interest during the last decade. This review article aims…
The Evolution of Boosting Algorithms - From Machine Learning to Statistical Modelling
Andreas Mayr, Harald Binder, Olaf Gefeller +1
The concept of boosting emerged from the field of machine learning. The basic idea is to boost the accuracy of a weak classifying tool by combining various instances into a more ac…