Overview
- Important information for statisticians and researchers in the fields of engineering, computing, life sciences, and social sciences
Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST, volume 9)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Strategic Economic Decision-Making: Using Bayesian Belief Networks to Solve Complex Problems 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.   Â
Authors and Affiliations
Bibliographic Information
Book Title: Strategic Economic Decision-Making
Book Subtitle: Using Bayesian Belief Networks to Solve Complex Problems
Authors: Jeff Grover
Series Title: SpringerBriefs in Statistics
DOI: https://doi.org/10.1007/978-1-4614-6040-4
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2013
Softcover ISBN: 978-1-4614-6039-8Published: 05 December 2012
eBook ISBN: 978-1-4614-6040-4Published: 05 December 2012
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: XI, 116
Number of Illustrations: 13 b/w illustrations, 22 illustrations in colour
Topics: Statistics, general, Statistics for Social Sciences, Humanities, Law, Statistical Theory and Methods