OpinionatedLessons.org/

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Welcome to the OpinionatedLessons.org home page! Opinionated Lessons are webcasts by Professor William H. Press of the University of Texas at Austin.

Our channel on YouTube is opinionatedlessons .

If you want to see how we are using the Opinionated Lessons in Statistics in our statistics course at UT Austin, go to the Main Page of this wiki (see navigation links on the left).

A list of the Opinionated Lessons is below. Every line has two clickable links. The first will take you to a page in this wiki, where you can watch the lesson, get links to the slides in higher resolution, and also (in most cases) find related materials from our course, for example exercises and thought problems. The second link will take you directly to the corresponding YouTube page.

We hope you learn from, and also enjoy, these lessons!

Opinionated Lessons in Statistics

Segment 1. Let's Talk about Probability (or YouTube)
Segment 2. Bayes (or YouTube)
Segment 3. Monty Hall (or YouTube)
Segment 4. The Jailer's Tip (or YouTube)
Segment 5. Bernoulli Trials (or YouTube)
Segment 6. The Towne Family Tree (or YouTube)
Segment 7. Central Tendency and Moments (or YouTube)
Segment 8. Some Standard Distributions (or YouTube)
Segment 9. Characteristic Functions (or YouTube)
Segment 10. The Central Limit Theorem (or YouTube)
Segment 11. Random Deviates (or YouTube)
Segment 12. P-Value Tests (or YouTube)
Segment 13. The Yeast Genome (or YouTube)
Segment 14. Bayesian Criticism of P-Values (or YouTube)
Segment 15. The Towne Family - Again (or YouTube)
Segment 16. Multiple Hypotheses (or YouTube)
Segment 17. The Multivariate Normal Distribution (or YouTube)
Segment 18. The Correlation Matrix (or YouTube)
Segment 19. The Chi Square Statistic (or YouTube)
Segment 20. Nonlinear Least Squares Fitting (or YouTube)
Segment 21. Marginalize or Condition Uninteresting Fitted Parameters (or YouTube)
Segment 22. Uncertainty of Derived Parameters (or YouTube)
Segment 23. Bootstrap Estimation of Uncertainty (or YouTube)
Segment 24. Goodness of Fit (or YouTube)
Segment 25. Fitting Models to Counts (or YouTube)
Segment 26. The Poisson Count Pitfall (or YouTube)
Segment 27. Mixture Models (or YouTube)
Segment 28. Gaussian Mixture Models in 1-D (or YouTube)
Segment 29. GMMs in N-Dimensions (or YouTube)
Segment 30. Expectation Maximization (EM) Methods (or YouTube)
Segment 31. A Tale of Model Selection (or YouTube)
Segment 32. Contingency Tables: A First Look (or YouTube)
Segment 33. Contingency Table Protocols and Exact Fisher Test (or YouTube)
Segment 34. Permutation Tests (or YouTube)
Segment 35. Ordinal vs. Nominal Contingency Tables (or YouTube)
Segment 36. Contingency Tables Have Nuisance Parameters (or YouTube)
Segment 37. A Few Bits of Information Theory (or YouTube)
Segment 38. Mutual Information (or YouTube)
Segment 39. MCMC and Gibbs Sampling (or YouTube)
Segment 40. Markov Chain Monte Carlo, Example 1 (or YouTube)
Segment 41. Markov Chain Monte Carlo, Example 2 (or YouTube)
Segment 47. Low-Rank Approximation of Data (or YouTube)
Segment 48. Principal Component Analysis (PCA) (or YouTube)
Segment 49. Eigenthingies and Main Effects (or YouTube)

Segments with Slides But Not Yet Recorded

(links are to PDF files)

Segment 15.5. Poisson Processes and Order Statistics
Segment 42. Wiener Filtering
Segment 43. The IRE Lady
Segment 44. Wavelets
Segment 45. Laplace Interpolation
Segment 46. Interpolation On Scattered Data
Segment 50. Binary Classifiers
Segment 51. Hierarchical Classification
Segment 52. Dynamic Programming

Other Opinionated Lessons

(These will be on other subjects. None yet!)