COMPSCI 70 Chapter Notes - Chapter 14: Disjoint Sets, Bayes Estimator, Posterior Probability
31 Jan 2018
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Document Summary
This fact is user to create/prove baye"s rule. "given b" limits the sample space that we have to look into for a. Finding the intersection of two events using conditional probability. Bayesian inference - a way to update knowledge after making an observation. Posterior probability is normally calculated by updating the prior probability by using baye"s rule a law that allows us to break down the probability of one event into the probabilities of smaller events. Note: having multiple conditional "bars" is not valid (an event can only be under one conditional context) The probability of events a and b happening at the same time = the probability of event a happening given that b happens * the proability of b happening. The probability of event a given event b is the probability of event a within the probability space of event b (the probabili ty of event a and event b within event b)
