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1. Full Lecture 14‏‎ (1 revision)
2. Full Lecture 18‏‎ (1 revision)
3. Significant Statistics‏‎ (1 revision)
4. Graduate Level: Intro to Probability and Statistics‏‎ (1 revision)
5. Full Lecture 3‏‎ (2 revisions)
6. Lecture 14. G) Somewhat Pedantic Remark on Notation‏‎ (2 revisions)
7. Full Lecture 8‏‎ (2 revisions)
8. Lecture 14. D) Slutsky’s Theorem‏‎ (2 revisions)
9. Lecture 16. A) Bayesian Inference‏‎ (2 revisions)
10. Full Lecture 12‏‎ (2 revisions)
11. Lecture 9. A) Point Estimation (cont.)‏‎ (2 revisions)
12. Full Lecture 10‏‎ (2 revisions)
13. Lecture 16. H) Theorem: Berstein von-Mises‏‎ (2 revisions)
14. Full Lecture 2‏‎ (2 revisions)
15. Full Lecture 5‏‎ (2 revisions)
16. Lecture 12. A) Statistical Tests‏‎ (2 revisions)
17. Lecture 7. D) Statistical Inference‏‎ (2 revisions)
18. Full Lecture 17‏‎ (2 revisions)
19. Lecture 10. C) Cramer-Rao Lower Bound‏‎ (2 revisions)
20. Lecture 15. B) Some Implications‏‎ (2 revisions)
21. Lecture 15. D) Example: Exponential Distribution‏‎ (2 revisions)
22. Full Lecture 1‏‎ (2 revisions)
23. Lecture 13. C) Karlin-Rubin Theorem‏‎ (2 revisions)
24. Lecture 9. E) Rao-Blackwell‏‎ (2 revisions)
25. Full Lecture 9‏‎ (2 revisions)
26. Lecture 13. A) Test Optimality (cont.)‏‎ (2 revisions)
27. Full Lecture 11‏‎ (2 revisions)
28. Lecture 18. B) Partitioned Regression‏‎ (3 revisions)
29. Full Lecture 6‏‎ (3 revisions)
30. Lecture 12. I) Optimal Tests‏‎ (3 revisions)
31. Lecture 4. H) Dirac delta function‏‎ (3 revisions)
32. Full Lecture 16‏‎ (3 revisions)
33. Lecture 18. A) Multicollinearity‏‎ (3 revisions)
34. Lecture 13. D) 2-sided Tests and Unbiased Tests‏‎ (3 revisions)
35. Lecture 16. F) "Counterexample"‏‎ (3 revisions)
36. Lecture 14. C) Convergence in Distribution‏‎ (3 revisions)
37. Lecture 17. D) Bootstrapping‏‎ (3 revisions)
38. Lecture 4. A) Distributions‏‎ (3 revisions)
39. Lecture 14. B) Law of Large Numbers‏‎ (3 revisions)
40. Lecture 12. B) Likelihood-Ratio Test‏‎ (3 revisions)
41. Lecture 6. E) Conditional Variance Identity‏‎ (3 revisions)
42. Lecture 11. A) Hypothesis Testing‏‎ (3 revisions)
43. Lecture 16. B) Example: Coin Tossing‏‎ (3 revisions)
44. Lecture 9. B) Evaluating Estimators‏‎ (3 revisions)
45. Full Lecture 7‏‎ (3 revisions)
46. Lecture 12. F) Test Equivalence‏‎ (3 revisions)
47. Lecture 7. A) Random Sample‏‎ (3 revisions)
48. Lecture 17. A) Ordinary Least Squares‏‎ (3 revisions)
49. Full Lecture 15‏‎ (3 revisions)
50. Lecture 16. C) A More General Example‏‎ (3 revisions)

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