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401-3621-DRL 2 Credits DR D-MATH

Fundamentals of Mathematical Statistics

Lecturers & Examiners: Prof. em. Dr. Sara van de Geer
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 with their name, course number and student ID. Please see
VVZ CR n/a

Last Updated: 2026-02-05 16:14:51

Abstract

In this course we study the basics of theoretical statistics. The course includes methods for designing estimators, confidenceintervals and tests, and various ways to evaluate the accuracy ofestimators, confidence intervals and tests. We consider optimality criteria such as admissibility and minimaxity, as well asBayesian criteria. We will also present the asymptotic point of view.

Objective

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.

Resources

Learning Materials (Links)

General Information

Language
English
Levels
DR
Frequency
Yearly recurring

Examination

Type
ungraded semester performance

Registration & Places

Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
lecture Fundamentals of Mathematical Statistics
  • Tue 08:15-10:00 (HG E 3)
  • Wed 10:15-12:00 (HG E 7)
4 h weekly
exercise Fundamentals of Mathematical Statistics
  • Tue 12:15-13:00 (HG E 7)
1 h weekly

Offered In