III.1. Model Selection - Yuedong Wang

III.2. Bootstrap and Resampling - Enno Mammen, Swagata Nandi

III.3. Simulation Techniques - Jack Kleijnen

III.4. Multivariate Density Estimation and Visualization - David Scott

III.5. Smoothing: Local Regression Techniques - Catherine Loader

III.6.Dimension Reduction Methods - Masahiro Mizuta

III.7. Generalized Linear Models - Marlene Müller

III.8. (Non) linear Regression Modelling - Pavel Cizek

III.9. Robustness Statistics - Ursula Gather, P. Laurie Davies

III.10. Semiparametric Models - Joel Horowitz

III.11. Bayesian Computational Methods - Christian Robert

III.12. Computational Methods in Survival Analysis - Toshinari Kamakura

III.13. Data and Knowledge Mining - Adalbert Wilhelm

III.14. Recursive Partitioning and Tree-based Methods -Heping Zhang

III.15. Support Vector Machines - David Tax, Christin Schäfer, Pavel Laskov, Sebastian Mika, Klaus-Robert Müller

III.16. Bagging, Boosting and Ensemble Methods - Peter Bühlmann