Literature: Gentle, Härdle, Mori, eds.: 
Handbook of Computational Statistics, Springer, 2004
The talks are independent of each other, giving a review over separate topics from modern computational statistics. 

C. Spanaus: The EM algorithm (II.5)
Tuesday, 23.8. 

C. Niyitegeka: Smoothing: Local Regression Techniques (III.5)
Thursday, 13.10., 9.00 in 48/538

D. Bauer: Dimension Reduction Methods (III.6)
Thursday, 13.10., 11.00 in 48/538

E. Makhova: Robust Statistics (III.9)
Friday, 14.10., 9.00 in 48/538

J. Ankamah: Semiparametric Models (III.10)
Friday, 14.10., 11.00 in 48/538

M. Nurkanovic: Support Vector Machines (III.15)
Friday, 14.10., 14.30 in 48/519

S. Karanja: (Non) Linear Regression Modelling (III.8)
Thursday, 10.11., 15.30 in 48/538

M. Zahnouni: Bagging, Boosting and Ensemble Methods (III.16)
Thursday, 24.11., 15.30 in 48/538  

Zhu Yuetao: Bayesian Simulation Methods (AoS, 24)
Thursday, 1.12., 15.30 in 48/538

E. Petukhova: Computational Methods in Survival Analysis (III.12)
Thursday, 8.12., 15.30 in 48/538 

A. Kovtaniuk: Visualization of Dependencies by means of Graphs (AoS, 18-19)
Thursday, 15.12., 15.30 in 48/538