Torsten Hothorn

According to our database, Torsten Hothorn authored at least 43 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Probabilistic time series forecasts with autoregressive transformation models.

David Rügamer, Philipp F. M. Baumann, Thomas Kneib, Torsten Hothorn

Stat. Comput., April, 2023

2022

Deep and interpretable regression models for ordinal outcomes.

Lucas Kook, Lisa Herzog, Torsten Hothorn, Oliver Dürr, Beate Sick

Pattern Recognit., 2022

Deep conditional transformation models for survival analysis.

Gabriele Campanella, Lucas Kook, Ida Häggström, Torsten Hothorn, Thomas J. Fuchs

CoRR, 2022

Deep interpretable ensembles.

Lucas Kook, Andrea Götschi, Philipp F. M. Baumann, Torsten Hothorn, Beate Sick

CoRR, 2022

2021

tramME: Mixed-Effects Transformation Models Using Template Model Builder.

Bálint Tamási, Torsten Hothorn

R J., 2021

Regularized Transformation Models: The tramnet Package.

Lucas Kook, Torsten Hothorn

R J., 2021

Predictive Distribution Modeling Using Transformation Forests.

Torsten Hothorn, Achim Zeileis

J. Comput. Graph. Stat., 2021

Transforming Autoregression: Interpretable and Expressive Time Series Forecast.

David Rügamer, Philipp F. M. Baumann, Thomas Kneib, Torsten Hothorn

CoRR, 2021

Deep Conditional Transformation Models.

Philipp F. M. Baumann, Torsten Hothorn, David Rügamer

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Transformation boosting machines.

Torsten Hothorn

Stat. Comput., 2020

Ordinal Neural Network Transformation Models: Deep and interpretable regression models for ordinal outcomes.

Lucas Kook, Lisa Herzog, Torsten Hothorn, Oliver Dürr, Beate Sick

CoRR, 2020

Deep transformation models: Tackling complex regression problems with neural network based transformation models.

Beate Sick, Torsten Hothorn, Oliver Dürr

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Generalised linear model trees with global additive effects.

Heidi Seibold, Torsten Hothorn, Achim Zeileis

Adv. Data Anal. Classif., 2019

2016

A unified framework of constrained regression.

Benjamin Hofner, Thomas Kneib, Torsten Hothorn

Stat. Comput., 2016

2015

Partykit: a modular toolkit for recursive partytioning in R.

Torsten Hothorn, Achim Zeileis

J. Mach. Learn. Res., 2015

2014

A new variable importance measure for random forests with missing data.

Alexander Hapfelmeier, Torsten Hothorn, Kurt Ulm, Carolin Strobl

Stat. Comput., 2014

2013

Variable selection and model choice in structured survival models.

Benjamin Hofner, Torsten Hothorn, Thomas Kneib

Comput. Stat., 2013

2012

Recursive partitioning on incomplete data using surrogate decisions and multiple imputation.

Alexander Hapfelmeier, Torsten Hothorn, Kurt Ulm

Comput. Stat. Data Anal., 2012

2011

Executable Papers for the R Community: The R2 Platform for Reproducible Research.

Friedrich Leisch, Manuel J. A. Eugster, Torsten Hothorn

Proceedings of the International Conference on Computational Science, 2011

Case studies in reproducibility.

Torsten Hothorn, Friedrich Leisch

Briefings Bioinform., 2011

2010

Estimation and regularization techniques for regression models with multidimensional prediction functions.

Matthias Schmid, Sergej Potapov, Annette B. Pfahlberg, Torsten Hothorn

Stat. Comput., 2010

Twin Boosting: improved feature selection and prediction.

Peter Bühlmann, Torsten Hothorn

Stat. Comput., 2010

Model-based Boosting 2.0.

Torsten Hothorn, Peter Bühlmann, Thomas Kneib, Matthias Schmid, Benjamin Hofner

J. Mach. Learn. Res., 2010

Testing the additional predictive value of high-dimensional molecular data.

Anne-Laure Boulesteix, Torsten Hothorn

BMC Bioinform., 2010

2009

Party on!

Carolin Strobl, Torsten Hothorn, Achim Zeileis

R J., 2009

New Numerical Algorithm for Multivariate Normal Probabilities in Package mvtnorm.

Xuefei Mi, Tetsuhisa Miwa, Torsten Hothorn

R J., 2009

2008

Boosting additive models using component-wise P-Splines.

Matthias Schmid, Torsten Hothorn

Comput. Stat. Data Anal., 2008

Flexible boosting of accelerated failure time models.

Matthias Schmid, Torsten Hothorn

BMC Bioinform., 2008

2007

Comparison of performance between rigid and non-rigid software registering CT to FDG-PET.

Gabriele Wolz, Anton Nömayr, Torsten Hothorn, Joachim Hornegger, Wolfgang Römer, Werner Bautz, Torsten Kuwert

Int. J. Comput. Assist. Radiol. Surg., 2007

Bias in random forest variable importance measures: Illustrations, sources and a solution.

Carolin Strobl, Anne-Laure Boulesteix, Achim Zeileis, Torsten Hothorn

BMC Bioinform., 2007

2006

Model-based boosting in high dimensions.

Torsten Hothorn, Peter Bühlmann

Bioinform., 2006

2005

Automated segmentation of the optic nerve head for diagnosis of glaucoma.

Radim Chrástek, Matthias Wolf, Klaus Donath, Heinrich Niemann, Dietrich Paulus, Torsten Hothorn, Berthold Lausen, Robert Lämmer, Christian Y. Mardin, Georg Michelson

Medical Image Anal., 2005

Generalised indirect classifiers.

A. Peters, Torsten Hothorn, Berthold Lausen

Comput. Stat. Data Anal., 2005

Bundling classifiers by bagging trees.

Torsten Hothorn, Berthold Lausen

Comput. Stat. Data Anal., 2005

2004

<i>StatDataML</i>: An XML Format for Statistical Data.

David Meyer, Friedrich Leisch, Torsten Hothorn, Kurt Hornik

Comput. Stat., 2004

2003

Bundling classifiers with an application to glaucoma diagnosis.

Torsten Hothorn

PhD thesis, 2003

Double-bagging: combining classifiers by bootstrap aggregation.

Torsten Hothorn, Berthold Lausen

Pattern Recognit., 2003

On the exact distribution of maximally selected rank statistics.

Torsten Hothorn, Berthold Lausen

Comput. Stat. Data Anal., 2003

Bagging tree classifiers for laser scanning images: a data- and simulation-based strategy.

Torsten Hothorn, Berthold Lausen

Artif. Intell. Medicine, 2003

Automated Segmentation of the Optic Nerve Head for Glaucoma Diagnosis.

Radim Chrástek, Matthias Wolf, Klaus Donath, Heinrich Niemann, Torsten Hothorn, Berthold Lausen, Robert Lämmer, Christian Y. Mardin, Georg Michelson

Proceedings of the Bildverarbeitung für die Medizin 2003, Algorithmen - Systeme, 2003

2002

StatDataML: An XML Format for Statistical Data.

David Meyer, Friedrich Leisch, Torsten Hothorn, Kurt Hornik

Proceedings of the COMPSTAT 2002, 2002

Bagging Tree Classifiers for Glaucoma Diagnosis.

Torsten Hothorn, Berthold Lausen

Proceedings of the COMPSTAT 2002, 2002

Exact Nonparametric Inference in R.

Torsten Hothorn, Kurt Hornik

Proceedings of the COMPSTAT 2002, 2002