401-3611-00L  Advanced Topics in Computational Statistics

SemesterHerbstsemester 2015
DozierendeM. H. Maathuis, M. Mächler
Periodizität2-jährlich wiederkehrende Veranstaltung

KurzbeschreibungThis lecture covers selected advanced topics in computational statistics, including various classification methods, the EM algorithm, clustering, handling missing data, and graphical modelling.
LernzielStudents learn the theoretical foundations of the selected methods, as well as practical skills to apply these methods and to interpret their outcomes.
InhaltThe course is roughly divided in three parts: (1) Supervised learning via (variations of) nearest neighbor methods, (2) the EM algorithm and clustering, (3) handling missing data and graphical models.
SkriptLecture notes.
Voraussetzungen / BesonderesWe assume a solid background in mathematics, an introductory lecture in probability and statistics, and at least one more advanced course in statistics.