By Jeff Grover

This booklet is an extension of the author’s first booklet and serves as a consultant and guide on how you can specify and compute 2-, 3-, and 4-Event Bayesian trust Networks (BBN). It walks the learner throughout the steps of becoming and fixing fifty BBN numerically, utilizing mathematical evidence. the writer wrote this ebook essentially for green freshmen in addition to execs, whereas protecting a proof-based educational rigor.

The author's first publication in this subject, a primer introducing inexperienced persons to the elemental complexities and nuances linked to studying Bayes’ theorem and inverse likelihood for the 1st time, used to be intended for non-statisticians unusual with the theorem―as is that this publication. This new publication expands upon that technique and is intended to be a prescriptive advisor for construction BBN and govt decision-making for college kids and execs; meant in order that decision-makers can make investments their time and begin utilizing this inductive reasoning precept in their decision-making methods. It highlights the application of an set of rules that served because the foundation for the 1st e-book, and comprises fifty 2-, 3-, and 4-event BBN of diverse variants.