Stud.IP Uni Oldenburg
University of Oldenburg
18.07.2019 13:11:59
mat865 - Advanced Topics in Statistics
Version from 24.03.2017 6.0 KP Department of Mathematics
Courses Sommersemester 2019
Lecture
  • 5.01.865a - Vorlesung Statistisches Lernen headache
    • Prof. Dr. Peter Ruckdeschel
    • Kornelius Rohmeyer

    Monday: 10:00 - 12:00, weekly (from 01/04/19)
    Tuesday: 08:00 - 10:00, fortnightly (from 02/04/19)
    Dates on Friday. 03.05.19 12:00 - 14:00, Friday. 10.05.19 12:30 - 14:00

    Nähere Informationen zur Veranstaltung Inhalte: - Prädiktionsverfahren: lineare Regression, GLM, regularisierte Regression: enet, LASSO, SVM Regression - Klassifikationsverfahren: LDA/QDA, Support Vector Classification, CART - Resampling Verfahren / Ensemble Methoden: Bagging, Boosting, Random Forests - Ausblick: Ranking, Online Learning Vorkenntnisse: Grundkenntnisse in Statistik, z.B. im Rahmen Statistik 1. Literatur: - Friedman, J., Hastie, T., & Tibshirani, R. (2001). The elements of statistical learning. Springer. - James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning. Springer. - Bühlmann, P., & Van De Geer, S. (2011). Statistics for high-dimensional data: methods, theory and applications. Springer.

Exercises
Notes for the module
Module examination
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