Publications 2008

• Bühlmann, P. and Yu, B. (2008). Invited Discussion on "Evidence contrary to the statistical view of boosting (D. Mease and A. Wyner)". Journal of Machine Learning Research 9, 187-194.
• Bühlmann, P. and Meier, L. (2008). Invited Discussion on "One-step sparse estimates in nonconcave penalized likelihood models (H. Zou and R. Li)". Annals of Statistics 36, 1534-1541.
• Bühlmann, P. (2008). Invited Discussion on "Sure Independence Screening (J. Fan and J. Lv)". Journal of the Royal Statistical Society: Series B, 70, 884-887.
• Groeneboom, P., Maathuis, M.H. and Wellner, J.A. (2008). "Current status data with competing risks: limiting distribution of the MLE", Annals of Statistics 36, 1064-1089. (arXiv:math/0609021v2)
• Groeneboom, P., Maathuis, M.H. and Wellner, J.A. (2008). "Current status data with competing risks: consistency and rates of convergence of the MLE". Annals of Statistics 36, 1031-1063. (arXiv:math/0609020v2)
• Kalisch, M. and Bühlmann, P. (2008). Robustification of the PC-algorithm for directed acyclic graphs. Journal of Computational and Graphical Statistics 17, 773-789.
• Künsch, H.R. (2008). Impact of geometrical properties on permeability and fluid phase distribution in porous media (with P. Lehmann, M. Berchtold, B. Ahrenholz, J. Tölke, A. Kaestner, M. Krafczyk and H. Flühler). Advances in Water Resources 31, 11881204.
• Lange, V., Malmström, J. A., Didion, J., King, N. L., Johansson, B. P., Schäfer, J., Rameseder, J., Wong, C.-H., Deutsch, E. W., Brusniak, M.-Y., Bühlmann, P., Björck, L., Domon, B. and Aebersold, R. (2008). Targeted quantitative analysis of Streptococcus pyogenes virulence factors by multiple reaction monitoring. Molecular & Cellular Proteomics 7, 1489-1500.
• Lutz, R.W., Kalisch, M. and Bühlmann, P. (2008). Robustified L2 boosting. Computational Statistics & Data Analysis 52, 3331-3341.
• Maathuis, M.H. and Wellner, J.A. (2008). "Inconsistency of the MLE for the joint distribution of interval censored survival times and continuous marks". Scandinavian Journal of Statistics 35, 83-103. (arXiv:math/0509084v2)
• Meier, L., van de Geer, S. and Bühlmann, P. (2008). The Group Lasso for logistic regression. Journal of the Royal Statistical Society: Series B, 70, 53-71.
• Meinshausen, N. and Bühlmann, P. (2008). Invited Discussion on "Treelets - An adaptive multi-scale basis for sparse unordered data (A.B. Lee, B. Nadler and L. Wasserman)". Annals of Applied Statistics 2, 478-481.
• Schöner, D., Kalisch, M., Leisner, C., Meier, L., Sohrmann, M., Faty, M., Barral, Y., Peter, M., Gruissem, W. and Bühlmann, P. (2008). Annotating novel genes by integrating synthetic lethals and genomic information. BMC Systems Biology 2008, 2:3, 1-14.
• Tarigan, B. and van de Geer, S. (2008). A moment bound for multicategory support vector machines. Journ. Machine Learning Research 9, 2171-2185.
• van de Geer, S. (2008). High-dimensional generalized linear models and the Lasso. The Annals of Statistics 36, 614-645.

Others

• Künsch, H.R. (2008). A conversation with Peter Huber (with Andreas Buja). Statistical Science 23, 120-135.
• Künsch, H.R. (2008). Comment: The 2005 Neyman Lecture: Dynamic Indeterminism in Science. Statistical Science 23, 65-68.