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20182026
most citedMachine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?

9 citations · 22 across the 11 of their papers we have counts for

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Showing 2019 · stat.APShow all

2 papers · 2 filters

stat.AP2019

Generalised Joint Regression for Count Data with a Focus on Modelling Football Matches

Hendrik van der Wurp, Andreas Groll, Thomas Kneib +2

We propose a versatile joint regression framework for count responses. The method is implemented in the R add-on package GJRM and allows for modelling linear and non-linear depende…

stat.AP2019★ 1 cited

Prediction of the 2019 IHF World Men's Handball Championship - An underdispersed sparse count data regression model

Andreas Groll, Jonas Heiner, Gunther Schauberger +1

In this work, we compare several different modeling approaches for count data applied to the scores of handball matches with regard to their predictive performances based on all ma…