Course details

This course is about using deductive logic when making strategic economic decisions that effect an organizations economic output. This is based on my book, "Strategic Economic Decision-Making: Using Bayesian Belief Networks to make Complex Decisions. This is a quick primer on the topic that introduces readers to the basic complexities and nuances associated with learning Bayes' theory and inverse probability for the first time. This brief is meant for non-statisticians who are unfamiliar with Bayes' theorem, walking them through the theoretical phases of set and sample set selection, the axioms of probability, probability theory as it pertains to Bayes' theorem, and posterior probabilities. All of these concepts are explained as they appear in the methodology of fitting a Bayes' model, and upon completion of the text readers will be able to mathematically determine posterior probabilities of multiple independent nodes across any system available for study. Very little has been published in the area of discrete Bayes' theory, and this brief will appeal to non-statisticians conducting research in the fields of engineering, computing, life sciences, and social sciences.

Updated on 27 December, 2017
Courses you can instantly connect with... Master Class in Reframing: Framestorm Your Way to Success Udemy Business Decision Making Udemy Influencing Consumers' Decisions: How to Make Them Pick You Udemy

Rate this page