Introduction to Estimation
Back to Home
01. Sebastian Introduction
02. Welcome Back
03. Intro to Estimation
04. Review of Discrete Probability
05. Expected Value
06. Variance
07. Playing with Probabilities Notebook
08. Probability Density Functions
09. Uniform Distribution Notebook
10. Uniform and Gaussian Distributions
11. Estimating Parameters from Data
12. Multivariate Distributions
13. 2D Gaussian Notebook
14. Joint and Marginal Distributions
15. Correlation and Independence
16. Conditional Distributions
17. Applying Bayes' Rule
18. Approaches to Estimation
19. Intro to Least Squares
20. Deriving the Maximum Likelihood Estimator
21. Fitting a Line with Linear Least Squares
22. Least Squares Notebook
23. Recursive Estimation
24. Recursive Estimation Notebook
25. The Problem with non-Linearities
26. Calculating the Jacobian
27. Non-Linear Least Squares Notebook
28. Conclusion
Back to Home
12. Multivariate Distributions
Nd787 C4 L01 A09 Multivariate Distributions V1
Next Concept