1 citations · 2 across the 2 of their papers we have counts for
3 papers
An update on statistical boosting in biomedicine
Andreas Mayr, Benjamin Hofner, Elisabeth Waldmann +3
Statistical boosting algorithms have triggered a lot of research during the last decade. They combine a powerful machine-learning approach with classical statistical modelling, off…
Probing for sparse and fast variable selection with model-based boosting
Janek Thomas, Tobias Hepp, Andreas Mayr +1
We present a new variable selection method based on model-based gradient boosting and randomly permuted variables. Model-based boosting is a tool to fit a statistical model while p…
Signal Regression Models for Location, Scale and Shape with an Application to Stock Returns
Sarah Brockhaus, Andreas Fuest, Andreas Mayr +1
We discuss scalar-on-function regression models where all parameters of the assumed response distribution can be modeled depending on covariates. We thus combine signal regression…