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What is Bayes Rule

Chapter 42
Encyclopedia of Business Analytics and Optimization
A formula for revising and updating the probability of some event in the light of new evidence where P ( A | B j ) is the conditional probability of event A conditional on event B j and B 1 , B 2 ,…, B k are mutually exclusive and exhaustive events. P ( B j ) is the prior probability and P ( B j | A ) is the posterior probability.
Published in Chapter:
Class-Dependent Principal Component Analysis
Oleg Okun (SMARTTECCO, Stockholm, Sweden)
Copyright: © 2014 |Pages: 11
DOI: 10.4018/978-1-4666-5202-6.ch042
Full Text Chapter Download: US $37.50 Add to Cart
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