Bayesian Belief Networks Experimental protocol

Jeff Grover
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Jeff Grover: Grover Group, Inc.

Chapter Chapter 4 in The Manual of Strategic Economic Decision Making, 2016, pp 59-63 from Springer

Abstract: Abstract Abstract This chapter introduces the Bayesian Belief Network (BBN) experimental protocol. It provides an introduction and a discussion on Bayes’ Research Methodology and the Joint Space and Disjoint Bayesian Belief Network Structure to include a description of the 9-steps to use, in conducting a Bayesian experiment, which include: Step 1: Identify a population of interest, Step 2: Specify a BBN with joint and/or disjoint Nodes, Step 3: Slice through each node, and identify at a minimum, two mutually exclusive or disjoint (unconditional) events, which are the subsets of our population, Step 4: Conduct the random experiment, Step 5: Determine frequency counts, Step 6: Determine prior5 or unconditional probabilities, Step 7: Determine likelihood probabilities, Step 8: Determine joint and marginal probabilities, and Step 9: Determine posterior probabilities.

Keywords: Bayesian Belief Networks (BBN); Bayesian Experiment; Determine Joint; Random Experiment; Node Disjoint (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-48414-3_4

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DOI: 10.1007/978-3-319-48414-3_4

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