LFU:online

Department of Statistics Department of Statistics

assoz. Prof. Mag. Dr. Nikolaus Umlauf assoz. Prof. Mag. Dr. Nikolaus Umlauf

403047

Advanced Regression Methods

VO 2

5

weekly

annually

English

Detailed knowledge of methods for the analysis and modeling of complex data using modern semiparametric methods. Ability to independently work out statistical problems based on use-oriented questions, using statistical software, and communicating the results.

Smoothing, Additive Models, Additive Models for Location Scale and Shape, Quantile Regression, Bayesian Models, Mixed Models.

Presentation of lecture slides by lecturer, discussion of case studies (VO). Preparation and presentation of exercises and case studies by participants, discussion (SE).

Primary reference: Fahrmeir L, Kneib T, Lang S (2009). Regression – Modelle, Methoden und Anwendungen. 2nd edition. Berlin: Springer-Verlag. Further references: Ruppert D, Wand MP, Carrol RJ (2003). Semiparametric Regression. New York: Cambridge University Press. Wood SN (2006). Generalized Additive Models: An Introduction with R. Chapman & Hall/CRC.