Volume 20, Issue 2

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April 2010

Regularisation Methods in Regression and Classification / Guest Edited by G.Tutz

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11 articles in this issue

Guest Editorial: Regularisation Methods in Regression and Classification
Gerhard Tutz
EditorialNotes 02 March 2010 Pages: 117 - 118
Twin Boosting: improved feature selection and prediction
Peter Bühlmann
Torsten Hothorn
OriginalPaper 03 September 2009 Pages: 119 - 138
Estimation and regularization techniques for regression models with multidimensional prediction functions
Matthias Schmid
Sergej Potapov
Torsten Hothorn
OriginalPaper 09 December 2009 Pages: 139 - 150
Sparse regression techniques in low-dimensional survival data settings
Christine Porzelius
Martin Schumacher
Harald Binder
OriginalPaper 27 October 2009 Pages: 151 - 163
Rank-based variable selection with censored data
Jinfeng Xu
Chenlei Leng
Zhiliang Ying
OriginalPaper 24 April 2009 Pages: 165 - 176
Least squares and shrinkage estimation under bimonotonicity constraints
Rudolf Beran
Lutz Dümbgen
OriginalPaper 24 April 2009 Pages: 177 - 189
Bilinear modulation models for seasonal tables of counts
Brian D. Marx
Paul H. C. Eilers
Roland Rau
OriginalPaper Open access 24 July 2009 Pages: 191 - 202
Bayesian regularisation in structured additive regression: a unifying perspective on shrinkage, smoothing and predictor selection
Ludwig Fahrmeir
Thomas Kneib
Susanne Konrath
OriginalPaper 21 November 2009 Pages: 203 - 219
Model uncertainty and variable selection in Bayesian lasso regression
Chris Hans
OriginalPaper 25 November 2009 Pages: 221 - 229
Joint covariate selection and joint subspace selection for multiple classification problems
Guillaume Obozinski
Ben Taskar
Michael I. Jordan
OriginalPaper Open access 14 January 2009 Pages: 231 - 252
Sparse conformal predictors
Mohamed Hebiri
OriginalPaper 29 December 2009 Pages: 253 - 266

Volume 20, Issue 2

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