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We discuss the concepts of sparsity and regularization in linear regression, graphical models, and
principal-component analysis. We then turn to tuning-parameter calibration. We follow the book
"Fundamentals of High-Dimensional Statistics: With Exercises and R Labs”, J. Lederer, Springer, 2022.

Semester: WiSe 2024/25
Selbsteinschreibung (Teilnehmer/in)
Selbsteinschreibung (Teilnehmer/in)