Only for ZGSM (ETH D-MATH and UZH I-MATH) doctoral students. The latter need to register at myStudies and then send an email to info@zgsm.ch with their name, course number and student ID. Please see https://zgsm.math.uzh.ch/index.php?id=forum0
In this course we study the basics of theoretical statistics. The course includes methods for designing estimators, confidence intervals and tests, and various ways to evaluate the accuracy of estimators, confidence intervals and tests. We consider optimality criteria such as admissibility and minimaxity, as well as Bayesian criteria. We will also present the asymptotic point of view.
Lernziel
The aim of this course is to gain insight into the main statistical ideas and concepts. The course considers classical low-dimensional models, with pointers towards today's highly complex models.
Kompetenzen
Methodenspezifische Kompetenzen
Analytische Kompetenzen
geprüft
Problemlösung
geprüft
Persönliche Kompetenzen
Kreatives Denken
geprüft
Leistungskontrolle
Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs