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Gruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 5
2020
Fuchs, Mathias; Hornung, Roman; Boulesteix, Anne-Laure und Bin, Riccardo de
(Dezember 2020):
On the asymptotic behaviour of the variance estimator of a U-statistic.
In: Journal of Statistical Planning and Inference, Bd. 209: S. 101-111
2019
Bin, Riccardo de; Boulesteix, Anne-Laure; Benner, Axel; Becker, Natalia und Sauerbrei, Willi
(2019):
Combining clinical and molecular data in regression prediction models: insights from a simulation study.
In: Briefings in Bioinformatics, Bd. 21, Nr. 6: S. 1904-1919
2018
Seibold, Heidi; Bernau, Christoph; Boulesteix, Anne-Laure und Bin, Riccardo de
(2018):
On the choice and influence of the number of boosting steps for high-dimensional linear Cox-models.
In: Computational Statistics, Bd. 33, Nr. 3: S. 1195-1215
2017
Boulesteix, Anne-Laure; Bin, Riccardo de; Jiang, Xiaoyu und Fuchs, Mathias
(2017):
IPF-LASSO: Integrative L1-Penalized regression with penalty factors for prediction based on multi-omics data.
In: Computational and mathematical methods in medicine, Bd. 2017, 7691937
[PDF, 1MB]
Bin, Riccardo de; Boulesteix, Anne-Laure und Sauerbrei, Willi
(2017):
Detection of influential points as a byproduct of resampling-based variable selection procedures.
In: Computational Statistics & Data Analysis, Bd. 116: S. 19-31