Bayes’ Theorem is an essential tool in statistics. Named after Thomas Bayes, it describes the conditional probability of the occurrence of an event given the prior knowledge of the conditions of another event. In Chapter 16 of the textbook, Bayes’ Theorem is introduced to analyze information cascades. However, besides networks, Bayes’ Theorem is useful to … Continue reading Applying Bayes’ Theorem to Cornell Demographics