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Anzahl der Publikationen: 79
Monographie
Bretz, Frank; Hothorn, Torsten und Westfall, Peter
(2010):
Multiple Comparisons Using R.
Boca Raton: CRC Press.
Everitt, Brian S. und Hothorn, Torsten
(2009):
A Handbook of Statistical Analyses Using R.
2nd edition. Boca Raton: CRC Press.
Zeitschriftenartikel
Rügamer, David 
ORCID: https://orcid.org/0000-0002-8772-9202; Baumann, Philipp F. M.; Kneib, Thomas und Hothorn, Torsten
(2023):
Probabilistic time series forecasts with autoregressive transformation models.
In: Statistics and Computing, Bd. 33, Nr. 2
[PDF, 653kB]
ORCID: https://orcid.org/0000-0002-8772-9202; Baumann, Philipp F. M.; Kneib, Thomas und Hothorn, Torsten
(2023):
Probabilistic time series forecasts with autoregressive transformation models.
In: Statistics and Computing, Bd. 33, Nr. 2
[PDF, 653kB]
Korepanova, Natalia; Seibold, Heidi ORCID: https://orcid.org/0000-0002-8960-9642; Steffen, Verena und Hothorn, Torsten ORCID: https://orcid.org/0000-0001-8301-0471
(2019):
Survival forests under test: Impact of the proportional hazards assumption on prognostic and predictive forests for amyotrophic lateral sclerosis survival.
In: Statistical Methods in Medical Research, Bd. 29, Nr. 5: S. 1403-1419
ORCID: https://orcid.org/0000-0002-8960-9642; Steffen, Verena und Hothorn, Torsten ORCID: https://orcid.org/0000-0001-8301-0471
(2019):
Survival forests under test: Impact of the proportional hazards assumption on prognostic and predictive forests for amyotrophic lateral sclerosis survival.
In: Statistical Methods in Medical Research, Bd. 29, Nr. 5: S. 1403-1419
Seibold, Heidi; Hothorn, Torsten und Zeileis, Achim
(2019):
Generalised linear model trees with global additive effects.
In: Advances in Data Analysis and Classification, Bd. 13, Nr. 3: S. 703-725
Hothorn, Torsten; Möst, Lisa und Bühlmann, Peter
(2018):
Most Likely Transformations.
In: Scandinavian Journal of Statistics, Bd. 45, Nr. 1: S. 110-134
Seibold, Sebastian; Bässler, Claus; Brandl, Roland; Fahrig, Lenore; Förster, Bernhard; Heurich, Marco; Hothorn, Torsten; Scheipl, Fabian; Thorn, Simon und Müller, Jörg
(2017):
An experimental test of the habitat-amount hypothesis for saproxylic beetles in a forested region.
In: Ecology, Bd. 98, Nr. 6: S. 1613-1622
Möst, Lisa; Hothorn, Torsten; Müller, Jörg und Heurich, Marco
(2015):
Creating a Landscape of Management: Unintended Effects on the Variation of Browsing Pressure in a National Park.
In: Forest Ecology and Management, Bd. 338: S. 46-56
Kaldhusdal, Arne; Brandl, Roland; Müller, Jörg; Möst, Lisa und Hothorn, Torsten
(2015):
Spatio-Phylogenetic Multi-Species Distribution Models.
In: Methods in Ecology and Evolution, Bd. 6, Nr. 2: S. 187-197
Brockhaus, Sarah; Scheipl, Fabian; Hothorn, Torsten und Greven, Sonja
(2015):
The Functional Linear Array Model.
In: Statistical Modelling, Bd. 15, Nr. 3: S. 279-300
[PDF, 3MB]
Möst, Lisa und Hothorn, Torsten
(2015):
Conditional Transformation Models for Survivor Function Estimation.
In: International Journal of Biostatistics, Bd. 11, Nr. 1: S. 23-50
[PDF, 997kB]
Möst, Lisa; Schmid, Matthias; Faschingbauer, Florian und Hothorn, Torsten
(2014):
Predicting Birth Weight with Conditionally Linear Transformation Models.
In: Statistical Methods in Medical Research
[PDF, 954kB]
Herberich, Esther; Hassler, Christine und Hothorn, Torsten
(2014):
Multiple Curve Comparisons with an Application to the Formation of the Dorsal Funiculus of Mutant Mice.
In: International Journal of Biostatistics, Bd. 10, Nr. 2: S. 289-302
[PDF, 952kB]
Hothorn, Torsten; Kneib, Thomas und Bühlmann, Peter
(2014):
Conditional Transformation Models.
In: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Bd. 76, Nr. 1: S. 3-27
Hapfelmeier, Alexander; Hothorn, Torsten; Ulm, Kurt und Strobl, Carolin
(2014):
A New Variable Importance Measure for Random Forests with Missing Data.
In: Statistics and Computing, Bd. 24, Nr. 1: S. 21-34
Hofner, Benjamin; Hothorn, Torsten und Kneib, Thomas
(2013):
Variable Selection and Model Choice in Structured Survival Models.
In: Computational Statistics, Bd. 28, Nr. 3: S. 1079-1101
Bässler, Claus; Hothorn, Torsten; Brandl, Roland und Müller, Jörg
(2013):
Insects Overshoot the Expected Upslope Shift Caused by Climate Warming.
In: PLOS ONE 8(6), e65842 [PDF, 493kB]
In: PLOS ONE 8(6), e65842 [PDF, 493kB]
Fenske, Nora; Burns, Jacob; Hothorn, Torsten und Rehfuess, Eva A.
(2013):
Understanding child stunting in India: a comprehensive analysis of socio-economic, nutritional and environmental determinants using quantile boosting.
In: PLOS ONE 8(11), e78692 [PDF, 1MB]
In: PLOS ONE 8(11), e78692 [PDF, 1MB]
Fenske, Nora; Fahrmeir, Ludwig; Hothorn, Torsten; Rzehak, Peter und Höhle, Michael
(2013):
Boosting structured additive quantile regression for longitudinal childhood obesity data.
In: The International Journal of Biostatistics, Bd. 9, Nr. 1: S. 1-18
[PDF, 1MB]
Häring, Tim; Reger, Birgit; Ewald, Jörg; Hothorn, Torsten und Schröder, Boris
(2013):
Regionalizing Indicator Values for Soil Reaction in the Bavarian Alps-From Averages to Multivariate Spectra.
In: Folia Geobotanica: S. 1-21
Häring, Tim; Reger, Birgit; Ewald, Jörg; Hothorn, Torsten und Schröder, Boris
(2013):
Predicting Ellenberg's Soil Moisture Indicator Value in the Bavarian Alps Using Additive Georegression.
In: Applied Vegetation Science, Bd. 16, Nr. 1: S. 110-121
Strache, Anja; Heller, Elizabeth; Hothorn, Torsten und Heurich, Marco
(2013):
Activity Patterns of European Roe Deer (Capreolus capreolus) are Strongly Influenced by Individual Behaviour.
In: Folia Zoologica, Bd. 62, Nr. 1: S. 67-75
Teuscher, Miriam; Brandl, Roland; Förster, Bernhard; Hothorn, Torsten; Rösner, Sascha und Müller, Jörg
(2013):
Forest Inventories Are a Valuable Data Source for Habitat Modelling of Forest Species: An Alternative to Remote-sensing Data.
In: Forestry: An International Journal of Forest Research, Bd. 86, Nr. 2: S. 241-253
Mayr, Andreas; Hothorn, Torsten und Fenske, Nora
(2012):
Prediction intervals for future BMI values of individual children - a non-parametric approach by quantile boosting.
In: BMC Medical Research Methodology
12:6
[PDF, 770kB]
Eugster, Manuel J.A.; Hothorn, Torsten und Leisch, Friedrich
(2012):
Domain-based benchmark experiments: Exploratory and inferential analysis.
In: Austrian Journal of Statistics, Bd. 41, Nr. 1: S. 5-26
Hapfelmeier, Alexander; Hothorn, Torsten und Ulm, Kurt
(2012):
Recursive partitioning on incomplete data using surrogate decisions and multiple imputation.
In: Computational Statistics & Data Analysis, Bd. 56, Nr. 6: S. 1552-1565
Herberich, Esther und Hothorn, Torsten
(2012):
Dunnett-type inference in the frailty Cox model with covariates.
In: Statistics in Medicine, Bd. 31, Nr. 1: S. 45-55
Heurich, Marco; Möst, Lisa; Schauberger, Gunther; Reulen, Holger; Sustr, Pavel und Hothorn, Torsten
(2012):
Survival and causes of death of European Roe Deer before and after Eurasian Lynx reintroduction in the Bavarian Forest National Park.
In: European Journal of Wildlife Research, Bd. 58, Nr. 3: S. 567-578
Hothorn, Torsten; Brandl, Roland und Müller, Jörg
(2012):
Large-scale model-based assessment of deer-vehicle collision risk.
In: PLOS ONE 7(2), e29510 [PDF, 728kB]
In: PLOS ONE 7(2), e29510 [PDF, 728kB]
Mayr, Andreas; Hothorn, Torsten und Fenske, Nora
(2012):
Prediction intervals for future BMI values of individual children - A non-parametric approach by quantile boosting.
In: BMC Medical Research Methodology, Bd. 12: S. 6
Müller, Jörg; Mehr, Milenka; Bässler, Claus; Fenton, M. Brock; Hothorn, Torsten; Pretzsch, Hans; Klemmt, Hans-Joachim und Brandl, Roland
(2012):
Aggregative response in bats: Prey abundance versus habitat.
In: Oecologia, Bd. 169, Nr. 3: S. 673-684
Robinzonov, Nikolay; Tutz, Gerhard und Hothorn, Torsten
(2012):
Boosting techniques for nonlinear time series models.
In: AStA Advances in Statistical Analysis, Bd. 96, Nr. 1: S. 99-122
Rödel, Claus; Liersch, Torsten; Becker, Heinz; Fietkau, Rainer; Hohenberger, Werner; Hothorn, Torsten; Graeven, Ullrich; Arnold, Dirk; Lang-Welzenbach, Marga; Raab, Hans-Rudolf; Sülberg, Heiko; Wittekind, Christian; Potapov, Sergej; Staib, Ludger; Hess, Clemens; Weigang-Köhler, Karin; Grabenbauer, Gerhard G.; Hoffmanns, Hans; Lindemann, Fritz; Schlenska-Lange, A.; Folprecht, Gunnar und Sauer, Rolf
(2012):
Preoperative chemoradiotherapy and postoperative chemotherapy with fluorouracil and oxaliplatin versus fluorouracil alone in locally advanced rectal cancer: Initial results of the German CAO/ARO/AIO-04 randomised phase 3 trial.
In: The Lancet Oncology, Bd. 13, Nr. 7: S. 679-687
Schmid, Matthias; Hothorn, Torsten; Krause, Friedemann und Rabe, Christina
(2012):
A PAUC-based estimation technique for disease classification and biomarker selection.
In: Statistical Applications in Genetics and Molecular Biology, Bd. 11, Nr. 5
Hothorn, Torsten; Brandl, Roland und Müller, Jörg
(2012):
Large-scale model-based assessment of deer-vehicle collision risk.
In: PLOS ONE 7(2), e29510 [PDF, 732kB]
In: PLOS ONE 7(2), e29510 [PDF, 732kB]
Schmid, Matthias; Hothorn, Torsten; Krause, Friedemann und Rabe, Christina
(2012):
A PAUC-based Estimation Technique for Disease Classification and Biomarker Selection.
In: Statistical Applications in Genetics and Molecular Biology, Bd. 11, Nr. 5: S. 1-24
[PDF, 446kB]
Schmid, Matthias; Hothorn, Torsten; Maloney, Kelly O.; Weller, D. und Potapov, Sergej
(2011):
Geoadditive regression modeling of stream biological condition.
In: Environmental and Ecological Statistics, Bd. 18, Nr. 4: S. 709-733
Hothorn, Torsten; Müller, Jörg; Schröder, Boris; Kneib, Thomas und Brandl, Roland
(2011):
Decomposing environmental, spatial, and spatiotemporal components of species distributions.
In: Ecological Monographs, Bd. 81, Nr. 2: S. 329-347
Hothorn, Torsten und Leisch, Friedrich
(2011):
Case studies in reproducibility.
In: Briefings in Bioinformatics, Bd. 12, Nr. 3: S. 288-300
Fenske, Nora; Kneib, Thomas und Hothorn, Torsten
(2011):
Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression.
In: Journal of the American Statistical Association, Bd. 106, Nr. 494: S. 494-510
Leisch, Friedrich; Eugster, Manuel J.A. und Hothorn, Torsten
(2011):
Executable Papers for the R Community: The Rsquared Platform for Reproducible Research.
In: Procedia Computer Science, Bd. 4: S. 618-626
Hofner, Benjamin; Hothorn, Torsten; Kneib, Thomas und Schmid, Matthias
(2011):
A framework for unbiased model selection based on boosting.
In: Journal of Computational and Graphical Statistics, Bd. 20, Nr. 4: S. 956-971
Herberich, Esther; Sikorski, Johannes und Hothorn, Torsten
(29. März 2010):
A robust procedure for comparing multiple means under heteroscedasticity in unbalanced designs.
In: PLOS ONE 5(3), e9788 [PDF, 575kB]
In: PLOS ONE 5(3), e9788 [PDF, 575kB]
Schmid, Matthias; Potapov, Sergej; Pfahlberg, Annette und Hothorn, Torsten
(2010):
Estimation and regularization techniques for regression models with multidimensional prediction functions.
In: Statistics and Computing, Bd. 20, Nr. 2: S. 139-150
Hothorn, Torsten und Müller, Jörg
(2010):
Large-scale reduction of ungulate browsing by managed sport hunting.
In: Forest Ecology and Management, Bd. 260, Nr. 9: S. 1416-1423
Hothorn, Torsten; Bühlmann, Peter; Kneib, Thomas; Schmid, Matthias und Hofner, Benjamin
(2010):
Model-based boosting 2.0.
In: Journal of Machine Learning Research, Bd. 11: S. 1851-1855
Herberich, Esther; Hothorn, Torsten; Nettle, Daniel und Pollet, Thomas V.
(2010):
A re-evaluation of the statistical model in Pollet and Nettle 2009.
In: Evolution and Human Behavior, Bd. 31, Nr. 2: S. 150-151
Bühlmann, Peter und Hothorn, Torsten
(2010):
Twin boosting.
In: Statistics and Computing, Bd. 20, Nr. 2: S. 119-138
Bässler, Claus; Müller, Jörg; Hothorn, Torsten; Kneib, Thomas; Badeck, Frank und Dziock, Frank
(2010):
Estimation of the extinction risk for high-montane species as a consequence of global warming and assessment of their suitability as cross-taxon indicators.
In: Ecological Indicators, Bd. 10, Nr. 2: S. 341-352
Boulesteix, Anne-Laure und Hothorn, Torsten
(2010):
Testing the additional predictive value of high-dimensional molecular data.
In: BMC Bioinformatics
11:78
[PDF, 427kB]
Hothorn, Ludwig A. und Hothorn, Torsten
(2009):
Order-restricted scores test for the evaluation of population-based case-control studies when the genetic model is unknown.
In: Biometrical Journal, Bd. 51, Nr. 4: S. 659-669
Hothorn, Ludwig A.; Vaeth, Michael und Hothorn, Torsten
(2009):
Trend tests for the evaluation of exposure-response relationships in epidemiological exposure studies.
In: Epidemiologic Perspectives & Innovations
6: S. 1-10
[PDF, 249kB]
Kneib, Thomas; Hothorn, Torsten und Tutz, Gerhard
(2009):
Variable Selection and Model Choice in Geoadditive Regression Models.
In: Biometrics, Bd. 65, Nr. 2: S. 626-634
Maloney, Kelly O.; Weller, Donald E.; Russell, Marc J. und Hothorn, Torsten
(2009):
Classifying the biological condition of small streams: An example using benthic macroinvertebrates.
In: Journal of the North American Benthological Society, Bd. 28, Nr. 4: S. 869-884
Mi, Xuefei; Miwa, Tetsuhisa und Hothorn, Torsten
(2009):
mvtnorm: New numerical algorithm for multivariate normal probabilities.
In: The R Journal, Bd. 1, Nr. 1: S. 37-39
Moning, Christoph; Werth, Silke; Dziock, Frank; Bässler, Claus; Bradtka, Johannes; Hothorn, Torsten und Müller, Jörg
(2009):
Lichen diversity in temperate montane forests is influenced by forest structure more than climate.
In: Forest Ecology and Management, Bd. 258, Nr. 5: S. 745-751
Sporn, Judith C.; Kustatscher, Georg; Hothorn, Torsten; Collado, Manuel; Serrano, Manuel; Muley, Thomas; Schnabel, Philipp und Ladurner, Andreas G.
(2009):
Histone macroH2A isoforms predict the risk of lung cancer recurrence.
In: Oncogene, Bd. 28: S. 3423-3428
Strobl, Carolin; Hothorn, Torsten und Zeileis, Achim
(2009):
Party on! A new, conditional variable importance measure available in the party package.
In: The R Journal, Bd. 1, Nr. 2: S. 14-17
Schmid, Matthias und Hothorn, Torsten
(2008):
Flexible boosting of accelerated failure time models.
In: BMC Bioinformatics
9:269
[PDF, 385kB]
Strobl, Carolin; Boulesteix, Anne-Laure; Zeileis, Achim und Hothorn, Torsten
(2007):
Bias in random forest variable importance measures: Illustrations, sources and a solution.
In: BMC Bioinformatics
8:25
[PDF, 368kB]
Paper
Hapfelmeier, Alexander; Hothorn, Torsten und Ulm, Kurt
(15. Februar 2012):
Random Forest variable importance with missing data.
Department of Statistics: Technical Reports, Nr. 121
[PDF, 567kB]
Robinzonov, Nikolay; Tutz, Gerhard und Hothorn, Torsten
(2010):
Boosting Techniques for Nonlinear Time Series Models.
Department of Statistics: Technical Reports, Nr. 75
[PDF, 2MB]
Rieger, Anna; Hothorn, Torsten und Strobl, Carolin
(2010):
Random Forests with Missing Values in the Covariates.
Department of Statistics: Technical Reports, Nr. 79
[PDF, 394kB]
Schmid, Matthias; Hothorn, Torsten; Maloney, K. O.; Weller, D. E. und Potapov, Sergej
(2010):
Geoadditive Regression Modeling of Stream Biological Condition.
Department of Statistics: Technical Reports, Nr. 86
[PDF, 6MB]
Hofner, Benjamin; Hothorn, Torsten; Kneib, Thomas und Schmid, Matthias
(10. Dezember 2009):
A Framework for Unbiased Model Selection Based on Boosting.
Department of Statistics: Technical Reports, Nr. 72
[PDF, 914kB]
Boulesteix, Anne-Laure und Hothorn, Torsten
(1. September 2009):
Testing the additional predictive value of high-dimensional molecular data.
Department of Statistics: Technical Reports, Nr. 64
[PDF, 439kB]
Fenske, Nora; Kneib, Thomas und Hothorn, Torsten
(2. April 2009):
Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression.
Department of Statistics: Technical Reports, Nr. 52
[PDF, 946kB]
Strobl, Carolin; Hothorn, Torsten und Zeileis, Achim
(11. Februar 2009):
Party on! A New, Conditional Variable Importance Measure for Random Forests Available in the party Package.
Department of Statistics: Technical Reports, Nr. 50
[PDF, 274kB]
Hofner, Benjamin; Hothorn, Torsten und Kneib, Thomas
(27. November 2008):
Variable Selection and Model Choice in Structured Survival Models.
Department of Statistics: Technical Reports, Nr. 43
[PDF, 1MB]
Schmid, Matthias; Potapov, Sergej; Pfahlberg, Annette und Hothorn, Torsten
(24. November 2008):
Estimation and Regularization Techniques for Regression Models with Multidimensional Prediction Functions.
Department of Statistics: Technical Reports, Nr. 42
[PDF, 756kB]
Eugster, Manuel J. A.; Hothorn, Torsten und Leisch, Friedrich
(30. Mai 2008):
Exploratory and Inferential Analysis of Benchmark Experiments.
Department of Statistics: Technical Reports, Nr. 30
[PDF, 1MB]
Hothorn, Torsten; Bretz, Frank und Westfall, Peter
(2008):
Simultaneous Inference in General Parametric Models.
Department of Statistics: Technical Reports, Nr. 19
[PDF, 416kB]
Schmid, Matthias und Hothorn, Torsten
(2008):
Flexible Boosting of Accelerated Failure Time Models.
Department of Statistics: Technical Reports, Nr. 18
[PDF, 378kB]
Schmid, Matthias und Hothorn, Torsten
(2007):
Boosting Additive Models using Component-wise P-Splines.
Department of Statistics: Technical Reports, Nr. 2
[PDF, 483kB]
Kneib, Thomas; Hothorn, Torsten und Tutz, Gerhard
(2007):
Variable Selection and Model Choice in Geoadditive Regression Models.
Department of Statistics: Technical Reports, Nr. 3
[PDF, 1MB]
Kneib, Thomas; Müller, Jörg und Hothorn, Torsten
(2006):
Spatial Smoothing Techniques for the Assessment of Habitat Suitability.
Sonderforschungsbereich 386, Discussion Paper 492
[PDF, 800kB]
Strobl, Carolin; Boulesteix, Anne-Laure; Zeileis, Achim und Hothorn, Torsten
(2006):
Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution.
Sonderforschungsbereich 386, Discussion Paper 490
[PDF, 574kB]
Buchbeitrag
Baumann, Philipp F. M. ORCID: https://orcid.org/0000-0001-8066-1615; Hothorn, Torsten ORCID: https://orcid.org/0000-0001-8301-0471 und Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202
(2021):
Deep Conditional Transformation Models.
In: Oliver, Nuria; Pérez-Cruz, Fernando; Kramer, Stefan; Read, Jesse und Lozano, José A. (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. Research Track. European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part III. Lecture Notes in Computer Science (LNAI), Bd. 12977. Cham: Springer. S. 3-18
ORCID: https://orcid.org/0000-0001-8066-1615; Hothorn, Torsten ORCID: https://orcid.org/0000-0001-8301-0471 und Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202
(2021):
Deep Conditional Transformation Models.
In: Oliver, Nuria; Pérez-Cruz, Fernando; Kramer, Stefan; Read, Jesse und Lozano, José A. (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. Research Track. European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part III. Lecture Notes in Computer Science (LNAI), Bd. 12977. Cham: Springer. S. 3-18
Robinzonov, Nikolay und Hothorn, Torsten
(2010):
Boosting for estimating spatially structured additive models.
In: Kneib, Thomas (Hrsg.):
Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Heidelberg: Physica-Verlag. S. 181-196