9 citations · 22 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
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…
Prediction of the FIFA World Cup 2018 - A random forest approach with an emphasis on estimated team ability parameters
Andreas Groll, Christophe Ley, Gunther Schauberger +1
In this work, we compare three different modeling approaches for the scores of soccer matches with regard to their predictive performances based on all matches from the four previo…