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

• L14.1 Lecture Overview (M-I-T)
• L14.2 Overview of some Application Domains (M-I-T)
• L14.3 Types of Inference Problems (M-I-T)
• L14.4 The Bayesian Inference Framework (M-I-T)
• L14.5 Discrete Parameter, Discrete Observation (M-I-T)
• L14.6 Discrete Parameter, Continuous Observation (M-I-T)
• L14.8 Inferring the Unknown Bias of a Coin and the Beta Distribution (M-I-T)
• L14.9 Inferring the Unknown Bias of a Coin—Point Estimates (M-I-T)
• L14.10 Summary (M-I-T)
• S14.1 The Beta Formula (M-I-T)