Mathematical Statistics
Course description
This course introduces the main ideas of mathematical statistics, including point estimation, sufficient statistics, efficiency, hypothesis testing, and asymptotic inference.
Materials
- Lecture notes
- Seminar notes
- Problem sets
- Jupyter notebooks
- Previous examinations
Topics
- Samples, statistics, and estimators
- Method of moments
- Maximum likelihood estimation
- Sufficiency
- Exponential families
- Fisher information
- Cramér–Rao lower bound
- Hypothesis testing
- Asymptotic inference