| Class semester | 1st semester |
|---|---|
| Class type | Mandatory |
| Instructors | Ioannis Moscholios
|
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
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