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Volume 1 / 1991 - Volume 22 / 2012
Regularisation Methods in Regression and Classification / Guest Edited by G.Tutz
117-118
Guest Editorial: Regularisation Methods in Regression and Classification
Gerhard Tutz
119-138
Twin Boosting: improved feature selection and prediction
Peter Bühlmann and Torsten Hothorn
139-150
Estimation and regularization techniques for regression models with multidimensional prediction functions
Matthias Schmid, Sergej Potapov, Annette Pfahlberg and Torsten Hothorn
151-163
Sparse regression techniques in low-dimensional survival data settings
Christine Porzelius, Martin Schumacher and Harald Binder
165-176
Rank-based variable selection with censored data
Jinfeng Xu, Chenlei Leng and Zhiliang Ying
177-189
Least squares and shrinkage estimation under bimonotonicity constraints
Rudolf Beran and Lutz Dümbgen
191-202
Bilinear modulation models for seasonal tables of counts
Brian D. Marx, Paul H. C. Eilers, Jutta Gampe and Roland Rau
203-219
Bayesian regularisation in structured additive regression: a unifying perspective on shrinkage, smoothing and predictor selection
Ludwig Fahrmeir, Thomas Kneib and Susanne Konrath
221-229
Model uncertainty and variable selection in Bayesian lasso regression
Chris Hans
231-252
Joint covariate selection and joint subspace selection for multiple classification problems
Guillaume Obozinski, Ben Taskar and Michael I. Jordan
253-266
Sparse conformal predictors SCP
Mohamed Hebiri
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