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Showing below up to 50 results in range #1 to #50.
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- Graduate Level: Intro to Probability and Statistics (1 revision)
- Full Lecture 14 (1 revision)
- Full Lecture 18 (1 revision)
- Significant Statistics (1 revision)
- Full Lecture 11 (2 revisions)
- Full Lecture 3 (2 revisions)
- Lecture 14. G) Somewhat Pedantic Remark on Notation (2 revisions)
- Full Lecture 8 (2 revisions)
- Lecture 14. D) Slutsky’s Theorem (2 revisions)
- Lecture 16. A) Bayesian Inference (2 revisions)
- Full Lecture 12 (2 revisions)
- Lecture 9. A) Point Estimation (cont.) (2 revisions)
- Full Lecture 10 (2 revisions)
- Lecture 16. H) Theorem: Berstein von-Mises (2 revisions)
- Full Lecture 2 (2 revisions)
- Full Lecture 5 (2 revisions)
- Lecture 12. A) Statistical Tests (2 revisions)
- Lecture 7. D) Statistical Inference (2 revisions)
- Full Lecture 17 (2 revisions)
- Lecture 15. B) Some Implications (2 revisions)
- Lecture 15. D) Example: Exponential Distribution (2 revisions)
- Lecture 10. C) Cramer-Rao Lower Bound (2 revisions)
- Full Lecture 1 (2 revisions)
- Lecture 13. C) Karlin-Rubin Theorem (2 revisions)
- Full Lecture 9 (2 revisions)
- Lecture 13. A) Test Optimality (cont.) (2 revisions)
- Lecture 9. E) Rao-Blackwell (2 revisions)
- Full Lecture 4 (3 revisions)
- Full Lecture 13 (3 revisions)
- Lecture 8. A) Point Estimation (3 revisions)
- Lecture 9. C) Minimum Variance Estimators (3 revisions)
- Lecture 5. B) Chebychev's Inequality (3 revisions)
- Lecture 16. G) Multiple Observations (3 revisions)
- Lecture 14. F) Delta Method (3 revisions)
- Lecture 18. B) Partitioned Regression (3 revisions)
- Full Lecture 6 (3 revisions)
- Lecture 12. I) Optimal Tests (3 revisions)
- Full Lecture 16 (3 revisions)
- Lecture 18. A) Multicollinearity (3 revisions)
- Lecture 4. H) Dirac delta function (3 revisions)
- Lecture 16. F) "Counterexample" (3 revisions)
- Lecture 14. C) Convergence in Distribution (3 revisions)
- Lecture 13. D) 2-sided Tests and Unbiased Tests (3 revisions)
- Lecture 4. A) Distributions (3 revisions)
- Lecture 14. B) Law of Large Numbers (3 revisions)
- Lecture 17. D) Bootstrapping (3 revisions)
- Lecture 6. E) Conditional Variance Identity (3 revisions)
- Lecture 11. A) Hypothesis Testing (3 revisions)
- Lecture 12. B) Likelihood-Ratio Test (3 revisions)
- Full Lecture 7 (3 revisions)
