1. Guest Editorial: Regularisation Methods in Regression and Classification

   • Gerhard Tutz

   EditorialNotes 02 March 2010 Pages: 117 - 118

2. Twin Boosting: improved feature selection and prediction

   • Peter Bühlmann
   • Torsten Hothorn

   OriginalPaper 03 September 2009 Pages: 119 - 138

3. Estimation and regularization techniques for regression models with multidimensional prediction functions

   • Matthias Schmid
   • Sergej Potapov
   • Torsten Hothorn

   OriginalPaper 09 December 2009 Pages: 139 - 150

4. Sparse regression techniques in low-dimensional survival data settings

   • Christine Porzelius
   • Martin Schumacher
   • Harald Binder

   OriginalPaper 27 October 2009 Pages: 151 - 163

5. Rank-based variable selection with censored data

   • Jinfeng Xu
   • Chenlei Leng
   • Zhiliang Ying

   OriginalPaper 24 April 2009 Pages: 165 - 176

6. Least squares and shrinkage estimation under bimonotonicity constraints

   • Rudolf Beran
   • Lutz Dümbgen

   OriginalPaper 24 April 2009 Pages: 177 - 189

7. 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

8. 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

9. Model uncertainty and variable selection in Bayesian lasso regression

   • Chris Hans

   OriginalPaper 25 November 2009 Pages: 221 - 229

10. 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

11. Sparse conformal predictors

    • Mohamed Hebiri

    OriginalPaper 29 December 2009 Pages: 253 - 266