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51. (hist) ‎Lecture 17. D) Bootstrapping ‎[2,924 bytes]
52. (hist) ‎Lecture 9. A) Point Estimation (cont.) ‎[2,909 bytes]
53. (hist) ‎Lecture 18. A) Multicollinearity ‎[2,721 bytes]
54. (hist) ‎Lecture 12. I) Optimal Tests ‎[2,721 bytes]
55. (hist) ‎Lecture 7. C) Order Statistics ‎[2,718 bytes]
56. (hist) ‎Lecture 5. B) Chebychev's Inequality ‎[2,673 bytes]
57. (hist) ‎Lecture 9. F) Factorization Theorem ‎[2,485 bytes]
58. (hist) ‎Lecture 16. E) Normal Distribution ‎[2,467 bytes]
59. (hist) ‎Lecture 12. J) Neyman-Pearson Lemma ‎[2,466 bytes]
60. (hist) ‎Lecture 4. D) Poisson ‎[2,462 bytes]
61. (hist) ‎Lecture 1. A) Sample Space ‎[2,436 bytes]
62. (hist) ‎Lecture 6. G) Some Inequalities ‎[2,423 bytes]
63. (hist) ‎Lecture 12. H) Equivalence Between LRT and Wald Tests ‎[2,369 bytes]
64. (hist) ‎Lecture 10. A) Finding UMVU Estimators ‎[2,358 bytes]
65. (hist) ‎Lecture 5. C) Multiple Random Variables ‎[2,356 bytes]
66. (hist) ‎Lecture 11. A) Hypothesis Testing ‎[2,286 bytes]
67. (hist) ‎Lecture 14. B) Law of Large Numbers ‎[2,275 bytes]
68. (hist) ‎Lecture 14. C) Convergence in Distribution ‎[2,267 bytes]
69. (hist) ‎Lecture 16. A) Bayesian Inference ‎[2,245 bytes]
70. (hist) ‎Lecture 6. A) Multiple Random Variables (cont.) ‎[2,175 bytes]
71. (hist) ‎Lecture 4. E) Uniform ‎[2,151 bytes]
72. (hist) ‎Lecture 9. C) Minimum Variance Estimators ‎[2,101 bytes]
73. (hist) ‎Lecture 6. F) Covariance and Correlation ‎[2,073 bytes]
74. (hist) ‎Lecture 4. G) Normal ‎[2,037 bytes]
75. (hist) ‎Lecture 13. A) Test Optimality (cont.) ‎[2,019 bytes]
76. (hist) ‎Lecture 4. C) Binomial ‎[2,011 bytes]
77. (hist) ‎Lecture 15. D) Example: Exponential Distribution ‎[2,009 bytes]
78. (hist) ‎Lecture 4. B) Bernoulli ‎[1,982 bytes]
79. (hist) ‎Lecture 6. C) Conditional Moments ‎[1,934 bytes]
80. (hist) ‎Lecture 6. D) Law of Iterated Expectations ‎[1,933 bytes]
81. (hist) ‎Lecture 7. D) Statistical Inference ‎[1,818 bytes]
82. (hist) ‎Lecture 12. C) Lagrange Multiplier Test ‎[1,802 bytes]
83. (hist) ‎Lecture 16. H) Theorem: Berstein von-Mises ‎[1,597 bytes]
84. (hist) ‎Lecture 16. F) "Counterexample" ‎[1,416 bytes]
85. (hist) ‎Lecture 14. D) Slutsky’s Theorem ‎[1,406 bytes]
86. (hist) ‎Lecture 14. G) Somewhat Pedantic Remark on Notation ‎[1,402 bytes]
87. (hist) ‎Lecture 12. D) Wald Test ‎[1,371 bytes]
88. (hist) ‎Lecture 8. A) Point Estimation ‎[1,366 bytes]
89. (hist) ‎Lecture 16. D) Conjugate Priors ‎[1,354 bytes]
90. (hist) ‎Lecture 1. D) Probability Space ‎[1,338 bytes]
91. (hist) ‎Lecture 11. E) Power Function ‎[1,334 bytes]
92. (hist) ‎Lecture 13. C) Karlin-Rubin Theorem ‎[1,320 bytes]
93. (hist) ‎Lecture 15. B) Some Implications ‎[1,304 bytes]
94. (hist) ‎Lecture 7. A) Random Sample ‎[1,289 bytes]
95. (hist) ‎Lecture 12. F) Test Equivalence ‎[1,135 bytes]
96. (hist) ‎Lecture 2. B) Leibniz Rule II ‎[1,010 bytes]
97. (hist) ‎Lecture 12. A) Statistical Tests ‎[992 bytes]
98. (hist) ‎Lecture 6. E) Conditional Variance Identity ‎[980 bytes]
99. (hist) ‎Lecture 4. A) Distributions ‎[714 bytes]
100. (hist) ‎Full Lecture 12 ‎[545 bytes]

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