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Advanced Topics in Computational Statistics
| Dr. Martin Maechler, Prof. Peter Bühlmann | Lecture: Th 8-10, HG D 3.2 |
Course Synopsis
- Highdimensional variable selection and the lasso
- (Support vector machines and kernel methods for classification)
- EM algorithm
- Unsupervised learning and clustering algorithms
Lecture notes
- First part -- Lasso, EM
- P.Bühlmann's page
- Unsupervised Learning, Clustering et
- (N.A.)
R Scripts as used in the Lecture
A selection is online in this ftp directory.
Recommended Reading
T. Hastie, R. Tibshirani, J. Friedman. The Elements of Statistical Learning. Springer
J. E. Gentle. Elements of Computational Statistics. Springer
W. N. Venables, B. D. Ripley. Modern Applied Statistics with S. Springer
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