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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 21

Hochschulschrift

Hofner, Benjamin (2008): Variable Selection and Model Choice in Survival Models with Time-Varying Effects. Diplomarbeit, Ludwig-Maximilians-Universität München
[PDF, 41MB]

Zeitschriftenartikel

Casalicchio, Giuseppe; Bossek, Jakob; Lang, Michel; Kirchhoff, Dominik; Kerschke, Pascal; Hofner, Benjamin; Seibold, Heidi; Vanschoren, Joaquin und Bischl, Bernd (2019): OpenML: An R package to connect to the machine learning platform OpenML. In: Computational Statistics, Bd. 34, Nr. 3: S. 977-991

Mayr, Andreas und Hofner, Benjamin (2018): Boosting for statistical modelling: A non-technical introduction. In: Statistical Modelling, Bd. 18, Nr. 3-4: S. 365-384 [PDF, 1MB]

Thomas, Janek; Mayr, Andreas; Bischl, Bernd; Schmid, Matthias; Smith, Adam und Hofner, Benjamin (2018): Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates. In: Statistics and Computing, Bd. 28, Nr. 3: S. 673-687

Mayr, Andreas; Hofner, Benjamin; Waldmann, Elisabeth; Hepp, Tobias; Meyer, Sebastian und Gefeller, Olaf (2017): An Update on Statistical Boosting in Biomedicine. In: Computational and Mathematical Methods in Medicine, Bd. 2017, 6083072 [PDF, 528kB]

Gefeller, Olaf; Hofner, Benjamin; Mayr, Andreas und Waldmann, Elisabeth (2017): Predictive Modelling Based on Statistical Learning in Biomedicine. In: Computational and Mathematical Methods in Medicine, Bd. 2017, 4041736 [PDF, 282kB]

Friedrichs, Stefanie; Manitz, Juliane; Burger, Patricia; Amos, Christopher I.; Risch, Angela; Chang-Claude, Jenny; Wichmann, Heinz-Erich; Kneib, Thomas; Bickeböller, Heike und Hofner, Benjamin (2017): Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies. In: Computational and Mathematical Methods in Medicine, Bd. 2017, 6742763 [PDF, 866kB]

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

Schneider, Christian P.; Fertmann, Jan; Miesen, Johannes; Wolf, Hilde; Flexeder, Claudia; Hofner, Benjamin; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; Jauch, Karl-Walter und Hartl, Wolfgang H. (2012): Short-term prognosis of critically ill surgical patients: The impact of duration of invasive organ support therapies. In: Journal of Critical Care, Bd. 27, Nr. 1: S. 73-82

Mayr, Andreas; Fenske, Nora; Hofner, Benjamin; Kneib, Thomas und Schmid, Matthias (2012): Generalized additive models for location scale and shape for high-dimensional data - a flexible approach based on boosting. In: Journal of the Royal Statistical Society, Series C (Applied Statistics), Bd. 61: S. 403-427

Hofner, Benjamin; Mayr, Andreas; Robinzonov, Nikolay und Schmid, Matthias (2012): Model-based boosting in R: a hands-on tutorial using the R package mboost. In: Computational Statistics: S. 1-33

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

Hofner, Benjamin; Kneib, Thomas; Hartl, Wolfgang H. und Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 (2011): Building cox-type structured hazard regression models with time-varying effects. In: Statistical Modelling, Bd. 11, Nr. 1: S. 3-24

Schneider, Christian P.; Fertmann, Jan; Geiger, Simon; Wolf, Hilde; Biermaier, Helga; Hofner, Benjamin; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; Jauch, Karl-Walter und Hartl, Wolfgang H. (2010): Long-term survival after surgical critical illness the impact of prolonged preceding organ support therapy. In: Annals of Surgery, Bd. 251, Nr. 6: S. 1145-1153

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

Schneider, Christian P.; Seyboth, Carol; Vilsmaier, Markus; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; Hofner, Benjamin; Jauch, Karl-Walter und Hartl, Wolfgang H. (2009): Prognostic factors in critically ill patients suffering from secondary peritonitis: A retrospective, observational, survival time analysis. In: World Journal of Surgery, Bd. 33, Nr. 1: S. 34-43

Paper

Hofner, Benjamin; Mayr, Andreas; Robinzonov, Nikolay und Schmid, Matthias (14. Februar 2012): Model-based Boosting in R: A Hands-on Tutorial Using the R Package mboost. Department of Statistics: Technical Reports, Nr. 120 [PDF, 784kB]

Mayr, Andreas; Fenske, Nora; Hofner, Benjamin; Kneib, Thomas und Schmid, Matthias (13. Dezember 2010): GAMLSS for high-dimensional data – a flexible approach based on boosting. Department of Statistics: Technical Reports, Nr. 98 [PDF, 2MB]

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]

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]

Hofner, Benjamin; Kneib, Thomas; Hartl, Wolfgang und Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 (2008): Building Cox-Type Structured Hazard Regression Models with Time-Varying Effects. Department of Statistics: Technical Reports, Nr. 27 Statistical Modelling (to appear) [PDF, 517kB]

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