6 citations · 11 across the 4 of their papers we have counts for
8 papers
Hybrid Machine Learning Forecasts for the UEFA EURO 2020
Andreas Groll, Lars Magnus Hvattum, Christophe Ley +4
Three state-of-the-art statistical ranking methods for forecasting football matches are combined with several other predictors in a hybrid machine learning model. Namely an ability…
Bias Reduction as a Remedy to the Consequences of Infinite Estimates in Poisson and Tobit Regression
Susanne Köll, Ioannis Kosmidis, Christian Kleiber +1
Data separation is a well-studied phenomenon that can cause problems in the estimation and inference from binary response models. Complete or quasi-complete separation occurs when…
The Power of Unbiased Recursive Partitioning: A Unifying View of CTree, MOB, and GUIDE
Lisa Schlosser, Torsten Hothorn, Achim Zeileis
A core step of every algorithm for learning regression trees is the selection of the best splitting variable from the available covariates and the corresponding split point. Early…
Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019
Andreas Groll, Christophe Ley, Gunther Schauberger +2
In this work, we combine two different ranking methods together with several other predictors in a joint random forest approach for the scores of soccer matches. The first ranking…
Bivariate Gaussian models for wind vectors in a distributional regression framework
Moritz N. Lang, Georg J. Mayr, Reto Stauffer +1
A new probabilistic post-processing method for wind vectors is presented in a distributional regression framework employing the bivariate Gaussian distribution. In contrast to prev…
Massively-Parallel Break Detection for Satellite Data
Malte von Mehren, Fabian Gieseke, Jan Verbesselt +3
The field of remote sensing is nowadays faced with huge amounts of data. While this offers a variety of exciting research opportunities, it also yields significant challenges regar…