Pages without language links

Showing below up to 50 results in range #51 to #100.

View (previous 50 | next 50) (20 | 50 | 100 | 250 | 500)

51. Lecture 13. F) Some Notes
52. Lecture 13. G) Interval Estimation/Confidence Intervals
53. Lecture 14. A) Convergence
54. Lecture 14. B) Law of Large Numbers
55. Lecture 14. C) Convergence in Distribution
56. Lecture 14. D) Slutsky’s Theorem
57. Lecture 14. E) Central Limit Theorem
58. Lecture 14. F) Delta Method
59. Lecture 14. G) Somewhat Pedantic Remark on Notation
60. Lecture 15. A) Asymptotic Properties of ML Estimators
61. Lecture 15. B) Some Implications
62. Lecture 15. C) Example: Hypothesis Test
63. Lecture 15. D) Example: Exponential Distribution
64. Lecture 15. E) Multiple Parameters
65. Lecture 16. A) Bayesian Inference
66. Lecture 16. B) Example: Coin Tossing
67. Lecture 16. C) A More General Example
68. Lecture 16. D) Conjugate Priors
69. Lecture 16. E) Normal Distribution
70. Lecture 16. F) "Counterexample"
71. Lecture 16. G) Multiple Observations
72. Lecture 16. H) Theorem: Berstein von-Mises
73. Lecture 17. A) Ordinary Least Squares
74. Lecture 17. B) Normal Linear Model
75. Lecture 17. C) Asymptotic Properties of OLS
76. Lecture 17. D) Bootstrapping
77. Lecture 18. A) Multicollinearity
78. Lecture 18. B) Partitioned Regression
79. Lecture 18. C) Gauss-Markov Theorem
80. Lecture 2. A) Random Variables (cont.)
81. Lecture 2. B) Leibniz Rule
82. Lecture 2. B) Leibniz Rule II
83. Lecture 2. C) Transformations of Random Variables
84. Lecture 3. A) Expected Value
85. Lecture 3. B) Moments
86. Lecture 3. C) Moment Generating Function
87. Lecture 4. A) Distributions
88. Lecture 4. B) Bernoulli
89. Lecture 4. C) Binomial
90. Lecture 4. D) Poisson
91. Lecture 4. E) Uniform
92. Lecture 4. F) Gamma
93. Lecture 4. G) Normal
94. Lecture 4. H) Dirac delta function
95. Lecture 5. A) Families of Distributions
96. Lecture 5. B) Chebychev's Inequality
97. Lecture 5. C) Multiple Random Variables
98. Lecture 6. A) Multiple Random Variables (cont.)
99. Lecture 6. B) Conditional PMF/PDF
100. Lecture 6. C) Conditional Moments

View (previous 50 | next 50) (20 | 50 | 100 | 250 | 500)