Largescale statistical methods
Class semester  1^{st} semester 

Class type  Mandatory 
Instructors  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
1213. Introduction to multivariate models