239 citations · 329 across the 8 of their papers we have counts for
8 papers
Refuting "Debunking the GAMLSS Myth: Simplicity Reigns in Pulmonary Function Diagnostics"
Robert A. Rigby, Mikis D. Stasinopoulos, Achim Zeileis +7
We read with interest the above article by Zavorsky (2025, Respiratory Medicine, doi:10.1016/j.rmed.2024.107836) concerning reference equations for pulmonary function testing. The…
colorspace: A Python Toolbox for Manipulating and Assessing Colors and Palettes
Reto Stauffer, Achim Zeileis
The Python colorspace package provides a toolbox for mapping between different color spaces which can then be used to generate a wide range of perceptually-based color palettes for…
Long-term foehn reconstruction combining unsupervised and supervised learning
Reto Stauffer, Achim Zeileis, Georg J. Mayr
Foehn winds, characterized by abrupt temperature increases and wind speed changes, significantly impact regions on the leeward side of mountain ranges, e.g., by spreading wildfires…
Stagewise Boosting Distributional Regression
Mattias Wetscher, Johannes Seiler, Reto Stauffer +1
Forward stagewise regression is a simple algorithm that can be used to estimate regularized models. The updating rule adds a small constant to a regression coefficient in each iter…
Circular Regression Trees and Forests with an Application to Probabilistic Wind Direction Forecasting
Moritz N. Lang, Lisa Schlosser, Torsten Hothorn +3
While circular data occur in a wide range of scientific fields, the methodology for distributional modeling and probabilistic forecasting of circular response variables is rather l…
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…
colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes
Achim Zeileis, Jason C. Fisher, Kurt Hornik +5
The R package colorspace provides a flexible toolbox for selecting individual colors or color palettes, manipulating these colors, and employing them in statistical graphics and da…
Distributional Regression Forests for Probabilistic Precipitation Forecasting in Complex Terrain
Lisa Schlosser, Torsten Hothorn, Reto Stauffer +1
To obtain a probabilistic model for a dependent variable based on some set of explanatory variables, a distributional approach is often adopted where the parameters of the distribu…