Summary
Chapters
Video Info
Dr. Ben Lambert explains the history and application of Bayes' rule, a mathematical formula to determine probability using a sample and prior knowledge. He also discusses sample size, Monte Carlo Markov Chain algorithms, and posterity density.
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Chapter 1: The History of Bayes' Rule
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Chapter 2: Using Bayes' Rule to Calculate a Quantity of Interest
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Chapter 3: What is Bayesian Inference?
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Chapter 4: Bayesian Inference in Practice
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Chapter 5: Markov Chain Monte Carlo (MCMC)
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Chapter 6: Using Bayesian Inference in Real Life
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