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Gerhard Tutz
2010 – today
- 2012
[j17]Gerhard Tutz, Sebastian Petry: Nonparametric estimation of the link function including variable selection. Statistics and Computing 22(1): 545-561 (2012)- [j16]Gerhard Tutz, Sebastian Petry: Nonparametric estimation of the link function including variable selection. Statistics and Computing 22(2): 545-561 (2012)
- 2010
- [j15]Gerhard Tutz: Guest Editorial: Regularisation Methods in Regression and Classification. Statistics and Computing 20(2): 117-118 (2010)
2000 – 2009
- 2009
- [j14]Jan Gertheiss, Gerhard Tutz: Supervised feature selection in mass spectrometry-based proteomic profiling by blockwise boosting. Bioinformatics 25(8): 1076-1077 (2009)
- [j13]Nivien Shafik, Gerhard Tutz: Boosting nonlinear additive autoregressive time series. Computational Statistics & Data Analysis 53(7): 2453-2464 (2009)
- [j12]Gerhard Tutz, Jan Ulbricht: Penalized regression with correlation-based penalty. Statistics and Computing 19(3): 239-253 (2009)
- 2008
- [j11]Harald Binder, Gerhard Tutz: A comparison of methods for the fitting of generalized additive models. Statistics and Computing 18(1): 87-99 (2008)
- 2007
- [j10]Florian Leitenstorfer, Gerhard Tutz: Knot selection by boosting techniques. Computational Statistics & Data Analysis 51(9): 4605-4621 (2007)
- [j9]Gerhard Tutz, Harald Binder: Boosting ridge regression. Computational Statistics & Data Analysis 51(12): 6044-6059 (2007)
- 2006
- [j8]Anne-Laure Boulesteix, Gerhard Tutz: Identification of interaction patterns and classification with applications to microarray data. Computational Statistics & Data Analysis 50(3): 783-802 (2006)
- [j7]Gerhard Tutz, Florian Leitenstorfer: Response shrinkage estimators in binary regression. Computational Statistics & Data Analysis 50(10): 2878-2901 (2006)
- [c3]Florian Leitenstorfer, Gerhard Tutz: A Boosting Approach to Generalized Monotonic Regression. GfKl 2006: 245-254
- 2005
- [j6]Gerhard Tutz, Harald Binder: Localized classification. Statistics and Computing 15(3): 155-166 (2005)
- [j5]Jochen Einbeck, Gerhard Tutz, Ludger Evers: Local principal curves. Statistics and Computing 15(4): 301-313 (2005)
- 2004
- [j4]Gerhard Tutz: Generalized semiparametrically structured mixed models. Computational Statistics & Data Analysis 46(4): 777-800 (2004)
- [c2]
- [c1]Jochen Einbeck, Gerhard Tutz, Ludger Evers: Exploring Multivariate Data Structures with Local Principal Curves. GfKl 2004: 256-263
- 2003
- [j3]Anne-Laure Boulesteix, Gerhard Tutz, Korbinian Strimmer: A CART-based approach to discover emerging patterns in microarray data. Bioinformatics 19(18): 2465-2472 (2003)
- [j2]Gerhard Tutz, Göran Kauermann: Generalized linear random effects models with varying coefficients. Computational Statistics & Data Analysis 43(1): 13-28 (2003)
1990 – 1999
- 1995
- [j1]Gerhard Tutz, Herbert Groß: Discrete kernels, loss functions and parametric models in discrete discrimination: A comparative study. Math. Meth. of OR 42(2): 217-230 (1995)
Coauthor Index
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last updated on 2012-12-02 21:26 CET by the dblp team