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What is Conditional Probability and Bayes about?

This document summarizes key concepts from Chapter 2 of the course AMS 131: Introduction to Probability Theory. It defines conditional probability as Pr(A|B) = Pr(A intersect B) / Pr(B) and notes that conditional probability satisfies the three probability axioms. It also describes the multiplication rule for conditional probabilities and the definitions of independent and conditionally independent events. Finally, it introduces Bayes

Author

Alex Bardales

Language

EN