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Topics in nonparametric smoothing
Course teacher(s)
Maarten JANSEN (Coordinator)ECTS credits
5
Language(s) of instruction
english
Course content
Study of at least one of the following topics: (1) spline smoothing (2) kernel or multiscale local polynomial estimation (3) wavelet or multiscale smoothing.
Objectives (and/or specific learning outcomes)
The course is about nonparametric regression or density estimation (nonparametric should not be understood as distribution free here, but rather refers to a nonspecified or observation dependent model for the covariate-response relationship)
Teaching methods and learning activities
Literature study with focus on one or several aspects (theoretic, computational, application) and one or several smoothing techniques
Reproduction of research results (proofs and/or simulation studies)
Contribution to the teaching profile
Nonparametric statistics
Other information
Contacts
Maarten Jansen, see https://maarten.jansen.web.ulb.be/index.html for contact information
Campus
Plaine
Evaluation
Method(s) of evaluation
- Other
Other
Written report and regular meetings/intermediate discussions of progress
Language(s) of evaluation
- english