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51. Lecture 6. D) Law of Iterated Expectations‏‎ (4 revisions)
52. Lecture 12. H) Equivalence Between LRT and Wald Tests‏‎ (4 revisions)
53. Lecture 11. B) Testing Procedure‏‎ (4 revisions)
54. Lecture 3. A) Expected Value‏‎ (4 revisions)
55. Lecture 11. E) Power Function‏‎ (4 revisions)
56. Lecture 3. B) Moments‏‎ (4 revisions)
57. Lecture 16. E) Normal Distribution‏‎ (4 revisions)
58. Lecture 15. A) Asymptotic Properties of ML Estimators‏‎ (4 revisions)
59. Lecture 16. D) Conjugate Priors‏‎ (4 revisions)
60. Lecture 6. F) Covariance and Correlation‏‎ (4 revisions)
61. Lecture 9. F) Factorization Theorem‏‎ (4 revisions)
62. Full Lecture 13‏‎ (3 revisions)
63. Lecture 8. A) Point Estimation‏‎ (3 revisions)
64. Lecture 9. C) Minimum Variance Estimators‏‎ (3 revisions)
65. Lecture 5. B) Chebychev's Inequality‏‎ (3 revisions)
66. Lecture 16. G) Multiple Observations‏‎ (3 revisions)
67. Lecture 14. F) Delta Method‏‎ (3 revisions)
68. Lecture 18. B) Partitioned Regression‏‎ (3 revisions)
69. Full Lecture 6‏‎ (3 revisions)
70. Lecture 12. I) Optimal Tests‏‎ (3 revisions)
71. Full Lecture 16‏‎ (3 revisions)
72. Lecture 18. A) Multicollinearity‏‎ (3 revisions)
73. Lecture 4. H) Dirac delta function‏‎ (3 revisions)
74. Lecture 16. F) "Counterexample"‏‎ (3 revisions)
75. Lecture 14. C) Convergence in Distribution‏‎ (3 revisions)
76. Lecture 13. D) 2-sided Tests and Unbiased Tests‏‎ (3 revisions)
77. Lecture 4. A) Distributions‏‎ (3 revisions)
78. Lecture 14. B) Law of Large Numbers‏‎ (3 revisions)
79. Lecture 17. D) Bootstrapping‏‎ (3 revisions)
80. Lecture 6. E) Conditional Variance Identity‏‎ (3 revisions)
81. Lecture 11. A) Hypothesis Testing‏‎ (3 revisions)
82. Lecture 12. B) Likelihood-Ratio Test‏‎ (3 revisions)
83. Full Lecture 7‏‎ (3 revisions)
84. Lecture 12. F) Test Equivalence‏‎ (3 revisions)
85. Lecture 16. B) Example: Coin Tossing‏‎ (3 revisions)
86. Lecture 9. B) Evaluating Estimators‏‎ (3 revisions)
87. Lecture 7. A) Random Sample‏‎ (3 revisions)
88. Full Lecture 15‏‎ (3 revisions)
89. Lecture 17. A) Ordinary Least Squares‏‎ (3 revisions)
90. Lecture 16. C) A More General Example‏‎ (3 revisions)
91. Full Lecture 4‏‎ (3 revisions)
92. Full Lecture 3‏‎ (2 revisions)
93. Lecture 14. G) Somewhat Pedantic Remark on Notation‏‎ (2 revisions)
94. Full Lecture 8‏‎ (2 revisions)
95. Lecture 14. D) Slutsky’s Theorem‏‎ (2 revisions)
96. Lecture 16. A) Bayesian Inference‏‎ (2 revisions)
97. Full Lecture 12‏‎ (2 revisions)
98. Lecture 9. A) Point Estimation (cont.)‏‎ (2 revisions)
99. Full Lecture 10‏‎ (2 revisions)
100. Lecture 16. H) Theorem: Berstein von-Mises‏‎ (2 revisions)

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