Chair of Mathematical Statistics (SMAT)

Statistical Theory - MATH 442


Instructor: Dr. Guillaume Dehaene

Assistant: Tomáš Rubín


Description

The course aims to develop certain key aspects of the theory of statistics, providing a common general framework for statistical methodology. While the main emphasis will be on the mathematical aspects of statistics, an effort will be made to balance rigor and relevance to statistical practice.

Topics include:

Required prior knowledge

The second-year courses in probability and statistics; calculus; a first-year course in analysis.

Recommended Texts

Bickel. P.J. & Doksum, K.A. (2000). Mathematical Statistics: Basic Ideas and Selected Topics, Volume I. Prentice Hall.
Knight, K. (2000). Mathematical Statistics. Chapman and Hall.
Cox, D.R. & Hinkley, D.V. (1979). Theoretical Statistics. Chapman & Hall.

Exam Information

There will be a written final exam.
No notes, books or any other material will be allowed in the exams.

Exercises/Solutions

Every week, one exercise will be graded. The solutions will be provided in the exercise session following the submission of the exercises. The grades from homeworks are for feedback only and will not count towards the final grade.

Fall 2017 Schedule

Lectures: MA A1 12 Tuesdays, 9:15-11:00
Exercises: MA A1 10 Mondays, 10:15-12:00

Course Materials

Moodle page