L | Date | Lecturer | Contents | Materials |
1 | 23.9. | JK | Introduction, course map, review of the basic stat terms/methods. | SAN_intro, Skulls |
2 | 30.9. | JK | Multivariate regression (continuous dependent variable, linear regression, p-values, overfitting). | SAN_regression |
3 | 7.10. | JK | Multivariate regression (non-linear models, polynomial and local regression). | SAN_nlin_regression |
4 | 14.10. | JK | Multivariate confirmation analysis (ANOVA and MANOVA). | SAN_manova |
5 | 21.10. | JK | Multivariate confirmation analysis (ANOVA and MANOVA). | see the previous slides |
6 | 28.10. | | Public holiday | |
7 | 4.11. | JK | Discriminant analysis (categorical dependent variable, LDA, logistic regression). | SAN_discriminant |
8 | 11.11. | JK | Dimension reduction (PCA and kernel PCA). | SAN_dimred |
9 | 18.11. | JK | Dimension reduction (other non-linear methods). | see the previous slides |
10 | 25.11. | TP | Robust statistics. | SAN_robust |
11 | 2.12. | TP | Anomaly detection. | Anomaly |
12 | 9.12. | ZM | Empirical studies, their design and evaluation. Power analysis. | SAN_emp_studies_power_analysis |
13 | 16.12. | JK | Clustering (formalism, k-means, EM GMM, hierarchical). | SAN_clustering |
14 | 6.1. | JK | Clustering (spectral clustering). | SAN_spect_clustering |