The study of Bayes' Theorem and how to apply that knowledge to actual challenges in a variety of professional disciplines. Provides a method for doing probability calculations after updating probabilities when new information is obtained in a critical stage of probability analysis. By manipulating the information in the Multiplication Rule, one can determine P(B/A) when given P(A) and P(A B). However, P(A/B) could not be calculated. Similarly, using the information in the Multiplication Rule, one can calculate P(A/B) when given P(B) and P(A B). There is now a place where Bayes' Theorem can be applied. The proof of Bayes' theorem is simple; not everyone is in the future, and you're using it to draw conclusions about the past. This is difficult for people who think in terms of causality.
Author(S) Details
Ismael Yaseen Abdulridha Alasadi
Department of Mathematics, University College of Science, Osmania University, India and University of Dhi qar, Iraq.
View Book:- https://stm.bookpi.org/RAMRCS-V5/article/view/4963
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