L | Date | Lecturer | Contents | Materials |
1 | 1.10. | JK | Introduction, course map, review of the basic stat terms/methods. | SAN_intro, skulls.zip |
2 | 8.10. | JK | Dimension reduction (PCA and kernel PCA). | SAN_dimred |
3 | 15.10. | JK | Dimension reduction (other non-linear methods). | see the previous slides |
4 | 22.10. | JK | Clustering (formalism, k-means, EM GMM, hierarchical). | SAN_clustering |
5 | 29.10. | JK | Clustering (spectral clustering). | SAN_spect_clutering |
6 | 5.11. | JK | Multivariate confirmation analysis (ANOVA and MANOVA). | SAN_manova,alloy.zip |
7 | 12.11. | JK | Multivariate regression (continuous dependent variable, linear regression, p-values, overfitting). | SAN_regression |
8 | 19.11. | JK | Multivariate regression (non-linear models, polynomial and local regression). | SAN_nonlin_regression |
9 | 26.11. | JK | Discriminant analysis (categorical dependent variable, LDA, logistic regression). | SAN_discriminant |
10 | 3.12. | TP | Robust statistics. | SAN_robust |
11 | 10.12. | TP | Anomaly detection. | SAN_anomaly_detect |
12 | 17.12. | ZM | Empirical studies, their design and evaluation. | SAN_emp_studies |
13 | 7.1. | ZM | Power analysis. | SAN_power_analysis |