Lecture 20: Multinomial and Cauchy | Statistics 110
49:26
Lecture 21: Covariance and Correlation | Statistics 110
50:09
Lecture 19: Joint, Conditional, and Marginal Distributions | Statistics 110
30:49
Introduction to Poker Theory
46:38
Lecture 31: Markov Chains | Statistics 110
48:49
Lecture 24: Gamma distribution and Poisson process | Statistics 110
49:48
Lecture 29: Law of Large Numbers and Central Limit Theorem | Statistics 110
48:15
Lecture 25: Order Statistics and Conditional Expectation | Statistics 110
49:48