Author Hothorn, Torsten
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2008 | Preprint
Boosting Geoadditive Regression Models
Kneib, T. ; Hothorn, T.& Trutz, G. (2008)
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2008 | Preprint
mboost - Componentwise Boosting for Generalised Regression Models
Kneib, T. & Hothorn, T. (2008)
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2008 | Journal Article
Variable Selection and Model Choice in Geoadditive Regression Models
Kneib, T. ; Hothorn, T. & Tutz, G. (2008)
Biometrics, 65(2) pp. 626-634. DOI: https://doi.org/10.1111/j.1541-0420.2008.01112.x
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2008 | Journal Article
Spatial smoothing techniques for the assessment of habitat suitability
Kneib, T. ; Müller, J. & Hothorn, T. (2008)
Environmental and Ecological Statistics, 15(3) pp. 343-364. DOI: https://doi.org/10.1007/s10651-008-0092-x
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2008 | Preprint
CoxFlexBoost: Fitting Structured Survival Models
Hofner, B.; Hothorn, T.& Kneib, T. (2008)
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2009 | Journal Article
Estimation of the extinction risk for high-montane species as a consequence of global warming and assessment of their suitability as cross-taxon indicators
Bässler, C.; Müller, J.; Hothorn, T.; Kneib, T. ; Badeck, F. & Dziock, F. (2009)
Ecological Indicators, 10(2) pp. 341-352. DOI: https://doi.org/10.1016/j.ecolind.2009.06.014
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2010 | Journal Article
Decomposing environmental, spatial, and spatiotemporal components of species distributions
Hothorn, T.; Müller, J.; Schröder, B.; Kneib, T. & Brandl, R. (2010)
Ecological Monographs, 81(2) pp. 329-347. DOI: https://doi.org/10.1890/10-0602.1
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2010 | Journal Article |
Model-based Boosting 2.0
Hothorn, T.; Bühlmann, P.; Kneib, T. ; Schmid, M. & Hofner, B. (2010)
Journal of Machine Learning Reseach - Machine Learning Open Source Software, 11 pp. 2109-2113.
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2011 | Journal Article
Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression
Fenske, N.; Kneib, T. & Hothorn, T. (2011)
Journal of the American Statistical Association, 106(494) pp. 494-510. DOI: https://doi.org/10.1198/jasa.2011.ap09272
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2011 | Journal Article
A Framework for Unbiased Model Selection Based on Boosting
Hofner, B.; Hothorn, T.; Kneib, T. & Schmid, M. (2011)
Journal of Computational and Graphical Statistics, 20(4) pp. 956-971. DOI: https://doi.org/10.1198/jcgs.2011.09220
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2012 | Journal Article
Variable selection and model choice in structured survival models
Hofner, B.; Hothorn, T. & Kneib, T. (2012)
Computational Statistics, 28(3) pp. 1079-1101. DOI: https://doi.org/10.1007/s00180-012-0337-x
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2013 | Journal Article
Conditional transformation models
Hothorn, T.; Kneib, T. & Bühlmann, P. (2013)
Journal of the Royal Statistical Society: Series B (Statistical Methodology), 76(1) pp. 3-27. DOI: https://doi.org/10.1111/rssb.12017
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2013 | Journal Article
Forest inventories are a valuable data source for habitat modelling of forest species: an alternative to remote-sensing data
Teuscher, M.; Brandl, R.; Foerster, B.; Hothorn, T.; Roesner, S. & Mueller, J. (2013)
Forestry An International Journal of Forest Research, 86(2) pp. 241-253. DOI: https://doi.org/10.1093/forestry/cps081
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2014 | Journal Article
A unified framework of constrained regression
Hofner, B.; Kneib, T. & Hothorn, T. (2014)
Statistics and Computing, 26(1-2) pp. 1-14. DOI: https://doi.org/10.1007/s11222-014-9520-y
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2014 | Conference Abstract
Preoperative chemoradiotherapy and postoperative chemotherapy with 5-fluorouracil and oxaliplatin versus 5-fluorouracil alone in locally advanced rectal cancer: Results of the German CAO/ARO/AIO-04 randomized phase III trial.
Rodel, C.; Liersch, T.; Fietkau, R.; Hohenberger, W.; Graeven, U.; Hothorn, T. & Arnold, D. et al. (2014)
Journal of Clinical Oncology, 32(15) 50th Annual Meeting of the American-Society-of-Clinical-Oncology, Chicago, IL.
Alexandria: Amer Soc Clinical Oncology.
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2017 | Journal Article
Tumor Regression Grading After Preoperative Chemoradiotherapy as a Prognostic Factor and Individual-Level Surrogate for Disease-Free Survival in Rectal Cancer
Fokas, E.; Ströbel, P. ; Fietkau, R.; Ghadimi, M. ; Liersch, T. ; Grabenbauer, G. G & Hartmann, A. et al. (2017)
Journal of the National Cancer Institute, 109(12). DOI: https://doi.org/10.1093/jnci/djx095
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2018 | Journal Article
Wildlife warning reflectors do not mitigate wildlife–vehicle collisions on roads
Benten, A.; Hothorn, T.; Vor, T. & Ammer, C. (2018)
Accident analysis & prevention, 120 pp. 64-73. DOI: https://doi.org/10.1016/j.aap.2018.08.003
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2019 | Journal Article
Deadwood retention in forests lowers short-term browsing pressure on silver fir saplings by overabundant deer
Hagge, J.; Müller, J.; Bässler, C.; Biebl, S. S.; Brandl, R.; Drexler, M. & Gruppe, A. et al. (2019)
Forest Ecology and Management, 451 art. 117531. DOI: https://doi.org/10.1016/j.foreco.2019.117531
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2019 | Journal Article |
Radar vision in the mapping of forest biodiversity from space
Bae, S. ; Levick, S. R.; Heidrich, L.; Magdon, P. ; Leutner, B. F.; Wöllauer, S. & Serebryanyk, A. et al. (2019)
Nature Communications, 10(1). DOI: https://doi.org/10.1038/s41467-019-12737-x
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2020 | Journal Article
Multivariate conditional transformation models
Klein, N. ; Hothorn, T.; Barbanti, L. & Kneib, T. (2020)
Scandinavian Journal of Statistics,. DOI: https://doi.org/10.1111/sjos.12501
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2020 | Journal Article
Heterogeneity–diversity relationships differ between and within trophic levels in temperate forests
Heidrich, L.; Bae, S. ; Levick, S.; Seibold, S.; Weisser, W.; Krzystek, P. & Magdon, P. et al. (2020)
Nature Ecology & Evolution, 4(9) pp. 1204-1212. DOI: https://doi.org/10.1038/s41559-020-1245-z
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2020 | Journal Article |
Author Correction: Heterogeneity–diversity relationships differ between and within trophic levels in temperate forests
Heidrich, L.; Bae, S. ; Levick, S.; Seibold, S.; Weisser, W.; Krzystek, P. & Magdon, P. et al. (2020)
Nature Ecology & Evolution, 4(10) pp. 1431-1431. DOI: https://doi.org/10.1038/s41559-020-01292-0
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2021 | Journal Article |
Insights from regional and short‐term biodiversity monitoring datasets are valuable: a reply to Daskalova et al . 2021
Seibold, S.; Hothorn, T.; Gossner, M. M.; Simons, N. K.; Blüthgen, N.; Müller, J. & Ambarlı, D. et al. (2021)
Insect Conservation and Diversity, 14(1) pp. 144-148. DOI: https://doi.org/10.1111/icad.12467
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2021 | Journal Article
The contribution of insects to global forest deadwood decomposition
Seibold, S.; Rammer, W.; Hothorn, T.; Seidl, R.; Ulyshen, M. D; Lorz, J. & Cadotte, M. W et al. (2021)
Nature, 597(7874) pp. 77-81. DOI: https://doi.org/10.1038/s41586-021-03740-8
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2023 | Journal Article |
Probabilistic time series forecasts with autoregressive transformation models
Rügamer, D.; Baumann, P. F. M.; Kneib, T. & Hothorn, T. (2023)
Statistics and Computing, 33(2). DOI: https://doi.org/10.1007/s11222-023-10212-8
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2023 | Conference Paper
A novel gradient boosting framework for generalised additive mixed models
Knieper, L. ; Bergherr, E. ; Hothorn, T.; Müller-Voggel, N. & Griesbach, C. (2023)
In:Bergherr, Elisabeth; Groll, Andreas; Mayr, Andreas (Eds.), Proceedings of the 37th International Workshop on Statistical Modelling. International Workshop on Statistical Modelling, Dortmund, Germany.
Proceedings of the 37th International Workshop on Statistical Modelling: TU Dortmund University.
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