Large-scale statistical methods

Class semester
1st semester
Class type
Ioannis Moscholios

Topics per week

1. Review on basic probability theorems

2. Discrete and continuous random variables

3. Bayesian inference and the posterior distribution

4. Point estimation, hypothesis testing, and the MAP Rule

5. Bayesian least mean squares estimation

6. Bayesian linear least mean squares estimation

7. Statistical inference

8. Classical parameter estimation

9. Linear regression

10. Binary hypothesis testing

11. Significance testing

12-13. Introduction to multivariate models