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Torsten Hothorn

University of Zurich
Ludwig Maximilian University of Munich
University of Erlangen-Nuremberg

395

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38418

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Deep and interpretable regression models for ordinal outcomes

2022 Pattern Recognition
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Variable Descriptions [R package variables version 1.1-0]

2021
- Torsten Hothorn
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Conditional Inference Procedures in a Permutation Test Framework [R package coin version 1.4-0]

2021
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Multivariate Normal and t Distributions [R package mvtnorm version 1.1-2]

2021
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Insights from regional and short‐term biodiversity monitoring datasets are valuable: a reply to Daskalova et al. 2021

2021 Insect Conservation and Diversity
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Count Transformation Models [R package cotram version 0.3-1]

2021
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On the relevance of prognostic information for clinical trials: A theoretical quantification.

2021 arXiv: Methodology
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A Laboratory for Recursive Partytioning [R package party version 1.3-6]

2021
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Predictive Distribution Modelling Using Transformation Forests

2021 Journal of Computational and Graphical Statistics
- Torsten Hothorn
- Achim Zeileis
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Unbiased Recursive Partitioning Enables Robust and Reliable Outcome Prediction in Acute SCI.

2021 Journal of Neurotrauma
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