1 citations · 1 across the 1 of their papers we have counts for
3 papers
Gradient Boosting for Linear Mixed Models
Colin Griesbach, Benjamin Säfken, Elisabeth Waldmann
Gradient boosting from the field of statistical learning is widely known as a powerful framework for estimation and selection of predictor effects in various regression models by a…
Extension of the Gradient Boosting Algorithm for Joint Modeling of Longitudinal and Time-to-Event data
Colin Griesbach, Andreas Mayr, Elisabeth Waldmann
In various data situations joint models are an efficient tool to analyze relationships between time dependent covariates and event times or to correct for event-dependent dropout o…
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…