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Eine Ebene nach oben |
Gruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 5
2022
Schalk, Daniel; Bischl, Bernd und Ruegamer, David
(2022):
Accelerated Componentwise Gradient Boosting Using Efficient Data Representation and Momentum-Based Optimization.
In: Journal of Computational and Graphical Statistics, Bd. 32, Nr. 2: S. 631-641
2021
Liew, Bernard; Lee, Ho Yin; Ruegamer, David; De Nunzio, Alessandro Marco; Heneghan, Nicola R.; Falla, Deborah und Evans, David W.
(2021):
A novel metric of reliability in pressure pain threshold measurement.
In: Scientific Reports, Bd. 11, Nr. 1, 6944
2020
Ruegamer, David und Greven, Sonja
(2020):
Inference for L-2-Boosting.
In: Statistics and Computing, Bd. 30, Nr. 2: S. 279-289
Brockhaus, Sarah; Ruegamer, David und Greven, Sonja
(2020):
Boosting Functional Regression Models with FDboost.
In: Journal of Statistical Software, Bd. 94, Nr. 10: S. 1-50
2018
Ruegamer, David und Greven, Sonja
(2018):
Selective inference after likelihood- or test-based model selection in linear models.
In: Statistics & Probability Letters, Bd. 140: S. 7-12