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06/29/2023
Statistically Enhanced Learning: a feature engineering framework to boost (any) learning algorithms
Feature engineering is of critical importance in the field of Data Scien...
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02/18/2022
Churn modeling of life insurance policies via statistical and machine learning methods – Analysis of important features
Life assurance companies typically possess a wealth of data covering mul...
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01/14/2022
Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?
Tree-based ensembles such as the Random Forest are modern classics among...
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06/07/2021
Hybrid Machine Learning Forecasts for the UEFA EURO 2020
Three state-of-the-art statistical ranking methods for forecasting footb...
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09/13/2020
Random boosting and random^2 forests – A random tree depth injection approach
The induction of additional randomness in parallel and sequential ensemb...
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09/11/2020
Deducing neighborhoods of classes from a fitted model
In todays world the request for very complex models for huge data sets i...
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03/31/2020
A flexible adaptive lasso Cox frailty model based on the full likelihood
In this work a method to regularize Cox frailty models is proposed that ...
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12/13/2019
Addressing cluster-constant covariates in mixed effects models via likelihood-based boosting techniques
Boosting techniques from the field of statistical learning have grown to...
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11/19/2019
A regularized hidden Markov model for analyzing the 'hot shoe' in football
Although academic research on the 'hot hand' effect (in particular, in s...
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08/02/2019
Generalised Joint Regression for Count Data with a Focus on Modelling Football Matches
We propose a versatile joint regression framework for count responses. T...
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06/03/2019
Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019
In this work, we combine two different ranking methods together with sev...
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01/17/2019
Prediction of the 2019 IHF World Men's Handball Championship - An underdispersed sparse count data regression model
In this work, we compare several different modeling approaches for count...
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06/08/2018