This 8-week seminar discusses statistics related to pattern recognition and data analsysis.
| Topics | |||
| Multiple Linear Regression (Frode Gilberg) |
Nonparametric Density Estimation (Knut Wold) |
Nonparametric Regression (Vitaliy Pavlenko) |
Cross-Validation (Davrondzhon Gafurov) |
| Bootstrap (Patrick Bours) |
Classification (Kirsi Helkala) |
Flexible Regression and Classification Methods (Slobodan Petrovic) |
Bagging and Boosting (Katrin Franke) |
In addition, Geir Olav Dyrkolbotn gave presentation of Statistical and Syntactic Pattern recognition.
This seminar gave an introduction to logic and automatic theorem proving. The lectures were given by Slobodan Petrovic.
| Topics | ||||
| Introduction | Propositional logic | First_order logic | Herbrand's theorem | The_resolution principle |
This seminar gave an introduction to time series and methods for analyzing and forecasting. The lectures were given by PhD-students and Post Doc.
| Some slides | ||
| Introduction | Stationary Processes | Spectral_analysis |
The seminar was based on Peter J. Brockwell and Richard A. Davis: Introduction to time series and forecasting, 2nd ed., Springer texts in statistics, 2002.