Elements of statistics
MATH0487-2, University of Liège, Fall 2021
Instructors: Lecturer: Pierre Sacré Teaching assistants: Arnaud Delaunoy, Antoine Dubois, Antoine Evens Student instructors: Antoine Debor, Loris Mendolia
Lectures: Tuesdays, 8:15am-10:15am in B7b A202
Communication: Ed Discussion is our primary digital channel for communication about the course. Sign up here: (use your @student.uliege.be email address).
Announcements
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- Welcome to the Fall 2021 edition of MATH0487!
Schedule and material
The homework is available here.
Slides are made available as the semester progresses.
This tentative schedule is subject to change.
| Date | Slides |
|---|---|
| Tue 14/09 | Lec 0. Overview [slides] Lec 1. Introduction [slides] Lec 2. Models, likelihood, and estimation [slides] |
| Tue 21/09 | TP 1. Descriptive statistics [list] |
| Tue 28/09 | Lec 3. Point estimation [slides] |
| Tue 05/10 | TP 2. Models, likelihood, and estimation [list] |
| Tue 12/10 | Lec 4. Interval estimation [slides] |
| Tue 19/10 | TP 3. Point estimation [list] |
| Tue 26/10 | Lec 5. Hypothesis testing (part 1) [slides] |
| Tue 02/11 | (no class) |
| Tue 09/11 | TP 4. Interval estimation [list] |
| Tue 16/11 | Lec 5. Hypothesis testing (part 2) [slides] |
| Tue 23/11 | TP 5. Hypothesis testing [list] |
| Tue 30/11 | Lec 6. Bayesian statistics |
| Tue 07/12 | TP 6. Bayesian statistics [list] |
| Tue 14/12 |
Related material
Most relevant books (see on myULiège):
- All of statistics: A concise course in statistical inference L. Wasserman. Springer, 2004
- Mathematical statistics and data analysis J. A. Rice. Cengage Learning, 2014
- Mathematical methods for physics and engineering K. F. Riley, M. P. Hobson, S. J. Bence. Cambridge University Press, 2006 (chapter 30 ‘Probability’ and chapter 31 ‘Statistics’)
Lecture slides from MATH0062 2020-2021 [slide].
Archives
- Fall 2020
- Fall 2019: theory, practice (L. Wehenkel)
- Fall 2018: theory, practice (L. Wehenkel)
- Fall 2017: theory, practice (L. Wehenkel)