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09/11/2023
Subgroup detection in linear growth curve models with generalized linear mixed model (GLMM) trees
Growth curve models are popular tools for studying the development of a ...
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06/07/2023
Tree models for assessing covariate-dependent method agreement
Method comparison studies explore the agreement of measurements made by ...
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05/27/2023
CRAN Task Views: The Next Generation
CRAN Task Views have been available on the Comprehensive R Archive Netwo...
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03/08/2023
Coloring in R's Blind Spot
Prior to version 4.0.0 R had a poor default color palette (using highly ...
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01/09/2023
Upward lightning at wind turbines: Risk assessment from larger-scale meteorology
Upward lightning (UL) has become an increasingly important threat to win...
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01/13/2022
Upward lightning at tall structures: Atmospheric drivers for trigger mechanisms and flash type
Upward lightning is much rarer than downward lightning and requires tall...
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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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02/26/2021
Cholesky-based multivariate Gaussian regression
Multivariate Gaussian regression is embedded into a general distribution...
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01/18/2021
Bias Reduction as a Remedy to the Consequences of Infinite Estimates in Poisson and Tobit Regression
Data separation is a well-studied phenomenon that can cause problems in ...
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01/02/2020
Circular Regression Trees and Forests with an Application to Probabilistic Wind Direction Forecasting
While circular data occur in a wide range of scientific fields, the meth...
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09/25/2019
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)
Over the last decades, the challenges in applied regression and in predi...
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06/24/2019
The Power of Unbiased Recursive Partitioning: A Unifying View of CTree, MOB, and GUIDE
A core step of every algorithm for learning regression trees is the sele...
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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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04/02/2019
Bivariate Gaussian models for wind vectors in a distributional regression framework
A new probabilistic post-processing method for wind vectors is presented...
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03/14/2019
colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes
The R package colorspace provides a flexible toolbox for selecting indiv...
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07/04/2018
Massively-Parallel Break Detection for Satellite Data
The field of remote sensing is nowadays faced with huge amounts of data....
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04/09/2018
Distributional Regression Forests for Probabilistic Precipitation Forecasting in Complex Terrain
To obtain a probabilistic model for a dependent variable based on some s...
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01/09/2017