By Jeff Grover
This booklet is an extension of the author’s first e-book and serves as a advisor and guide on how one can specify and compute 2-, 3-, and 4-Event Bayesian trust Networks (BBN). It walks the learner during the steps of becoming and fixing fifty BBN numerically, utilizing mathematical evidence. the writer wrote this ebook essentially for green rookies in addition to pros, whereas holding a proof-based educational rigor.
The author's first e-book in this subject, a primer introducing newcomers to the elemental complexities and nuances linked to studying Bayes’ theorem and inverse chance for the 1st time, was once intended for non-statisticians strange with the theorem―as is that this e-book. This new booklet expands upon that method and is intended to be a prescriptive consultant for development BBN and govt decision-making for college kids and pros; meant in order that decision-makers can make investments their time and begin utilizing this inductive reasoning precept in their decision-making strategies. It highlights the application of an set of rules that served because the foundation for the 1st publication, and comprises fifty 2-, 3-, and 4-event BBN of diverse variants.
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