Introduction to Estimation
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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
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08. Probability Density Functions
Nd787 C4 L1 A06 Probability Density Functions V1
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