Part II: Inference & Limit Theorems (M-I-T)

Lecture 14: Introduction to Bayesian Inference (M-I-T)

Lecture 15: Linear Models With Normal Noise (M-I-T)

Lecture 16: Least Mean Squares (LMS) Estimation (M-I-T)

Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T)

Lecture 18: Inequalities, Convergence, and the Weak Law of Large Numbers (M-I-T)

Lecture 19: The Central Limit Theorem (CLT) (M-I-T)

Lecture 20: An Introduction to Classical Statistics (M-I-T)