Author:
Brockhaus Sarah,Melcher Michael,Leisch Friedrich,Greven Sonja
Funder
Deutsche Forschungsgemeinschaft
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science
Reference33 articles.
1. Brockhaus, S.: FDboost: boosting functional regression models. R package version 0.0-8, (2015) Available at http://CRAN.R-project.org/package=FDboost
2. Brockhaus, S., Scheipl, F., Hothorn, T., Greven, S.: The functional linear array model. Stat. Model. 15(3), 279–300 (2015)
3. Bühlmann, P., Hothorn, T.: Boosting algorithms: regularization, prediction and model fitting (with discussion). Stat. Sci. 22(4), 477–505 (2007)
4. Bühlmann, P., Yu, B.: Boosting with the $$L_2$$ L 2 loss: regression and classification. J. Am. Stat. Assoc. 98(462), 324–339 (2003)
5. Buja, A., Hastie, T.J., Tibshirani, R.J.: Linear smoothers and additive models. Ann. Stat. 17(2), 453–510 (1989)
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