Section 1
Intro to Bayes
1. Introduction to Uncertainty Quantification 📂
11:11 (Preview)
2. The Importance of Being Bayes: Introducing Bayes' Theorem 📂
10:07
3. Unpacking Bayes' Theorem: Prior, Likelihood and Posterior 📂
17:06
4. Prior and Posterior - Coin Flipping Walkthrough 📂
17:25
Section 2
Bayesian Linear Regression and parameter Estimation
5. Linear Least Squares Breakdown and Bayesian Linear Regression 📂
16:47
6. Bayesian Linear Regression: A Coding Walkthrough 📂
17:45
7. Bayesian Parameter Estimation 📂
14:59
8. Bayesian Parameter Estimation: Walkthrough with COVID Example 📂
29:52
9. Conclusion, Certificate, and What Next?
7. Bayesian Parameter Estimation
Bayesian Linear Regression and parameter Estimation
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8. Bayesian Parameter Estimation: Walkthrough with COVID Example