This book is an extension of the author’s first book and serves
as a guide and manual on how to specify and compute 2-, 3-, and
4-Event Bayesian Belief Networks (BBN). It walks the learner
through the steps of fitting and solving fifty BBN numerically,
using mathematical proof. The author wrote this book primarily
for inexperienced learners as well as professionals, while
maintaining a proof-based academic rigor.
The author's first... more...