Summer Semester 25

Vorlesung

Statistical Learning

Lecturer:
  • Prof. Dr. Thomas Deckers
Contact:
Term:
Summer Semester 2025
Cycle:
Block
Time:
02.04. 9-14 Uhr
Room:
T03 R02 D81, V15 R04 H25, R11 T04 C84, online, R11 T03 C15
Start:
02.04.2025
End:
25.04.2025
Language:
German/English
Moodle:
Lecture in Moodle
LSF:
Lecture in LSF
Participants:
Linked Lectures:

Description:

Successful participation in the module “Methoden der Ökonometrie” is recommended.

The syllabus includes: statistical and machine learning methods, in particular: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical).

Outline:

Lecture and excercise will be combined. The dates for the block seminar are (room not yet determined):

Literature:

James, Gareth, et al. An introduction to statistical learning. Vol. 112. No. 1. New York: springer, 2013.

Formalities:

Die Veranstaltung befasst sich mit dem Thema 'Statistical Learning' und wird als Block angeboten.

Informationen zur Anrechenbarkeit sowie den Inhalten dieser Veranstaltung finden sich im Modulhandbuch.

Der Zoomlink für die Veranstaltung am Montag den 07.04.:

"Thema: Statistical Learning 
Zeit: 7.Apr. 2025 10:00 AM Amsterdam, Berlin, Rom, Stockholm, Wien
An Zoom-Meeting teilnehmen
https://uni-due.zoom-x.de/j/62605778786?pwd=l4WWn9nTN5aFDhbawY63hx0Gatzz1X.1

Meeting-ID: 626 0577 8786
Kenncode: 332034
"