Model Selection:

- Introductionary article (PDF, 350 kB) (password required)
- Article on key concepts (PDF, 1430 kB) (password required)
- Article on predictive accuracy (PDF, 70 kB) (password required)
- Article on the Bayesian point of view (PDF, 149 kB) (password required)

Exercises (Bootstrap methods):

- Assignment 1 (PDF) - Solution hints 1 (PDF) - R-Commands (TXT)
- Assignment 2 (PDF) - Solution hints 2 (PDF) - R-Commands (TXT)
- Assignment 3 (PDF) - Solution hints 3 (PDF) - R-Commands (TXT)
- Assignment 4 (PDF) - Solution hints 4 (PDF) - R-Commands (TXT)
- Assignment 5 (PDF) - Solution hints 5 (PDF) - R-Commands (TXT)
- Assignment 6 (PDF) - Solution hints 6 (PDF) - R-Commands (TXT)
- Assignment 7 (PDF) - Solution hints 7 (PDF) - R-Commands (TXT)

Exercises (Model selection):

- Assignment 8 (PDF)     - Solution hints 8 (PDF) - R-Commands (TXT)
- Assignment 9 (PDF)     -                                       - R-Commands (TXT)
- Assignment 10 (PDF)   -                                       - R-Commands (TXT)
- Assignment 11 (PDF)   -                                       - R-Commands (TXT)


Will be complemented according to the progress of the lecture...

Datasets:

- Car consumption data ('carconsump.dat') (right-click and save as, use scan() for import)
- Law school data ('law.dat') (right-click and save as, use read.table() for import)
- Exchange rates ('UE_fex.dat') (right-click and save as, use scan() for import)
- Income data 1 ('income_sample.dat') (right-click and save as, use scan() for import)
- Income data 2 ('income.dat') (right-click and save as, use scan() for import)
- Mortality data ('unicef.dat') (right-click and save as, use read.table() for import)
- Ryde population data ('Ryde_95_population.dat') (right-click and save as, use read.table() for import)
- Ryde data - sample ('Ryde_95_sample.dat') (right-click and save as, use read.table() for import)
- Air condition failures ('ac-fail.dat') (right-click and save as, use scan() for import)

Literature


Bootstrap Methods:
Model Selection:
-->