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20182022
most citedMachine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?

9 citations · 22 across the 8 of their papers we have counts for

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2 papers · 1 filter

stat.ME2020

A flexible adaptive lasso Cox frailty model based on the full likelihood

Maike Hohberg, Andreas Groll

In this work a method to regularize Cox frailty models is proposed that accommodates time-varying covariates and time-varying coefficients and is based on the full instead of the p…

stat.ME2019

Addressing cluster-constant covariates in mixed effects models via likelihood-based boosting techniques

Colin Griesbach, Andreas Groll, Elisabeth Waldmann

Boosting techniques from the field of statistical learning have grown to be a popular tool for estimating and selecting predictor effects in various regression models and can rough…