Maximum likelihood principle, Bayesian estimation, properties of estimators, sufficiency, likelihood ratio tests, chi-square distribution, t distribution, F distribution, power, nonparametrics, bootstrap, and Markov Chain Monte Carlo.
- [MATH-256] Introduction to Probability and Statistics -- with a grade of at least C.
- [MATH-311] Probability Theory -- with a grade of at least C.
2020 Spring-- G. Sokolov.
2018 Spring-- G. Sokolov.
2016 Spring-- A. Schwab-McCoy.
2014 Spring-- G. Malla.