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Using Bayesian Updating to Improve Decisions under Uncertainty
Author(s) -
Brian T. McCann
Publication year - 2020
Publication title -
california management review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.806
H-Index - 129
eISSN - 2162-8564
pISSN - 0008-1256
DOI - 10.1177/0008125620948264
Subject(s) - bayesian probability , variety (cybernetics) , computer science , quality (philosophy) , process (computing) , bayesian inference , decision process , operations research , management science , artificial intelligence , economics , mathematics , philosophy , epistemology , operating system
Decision making requires managers to constantly estimate the probability of uncertain outcomes and update those estimates in light of new information. This article provides guidance to managers on how they can improve that process by more explicitly adopting a Bayesian approach. Clear understanding and application of the Bayesian approach leads to more accurate probability estimates, resulting in better informed decisions. More importantly, adopting a Bayesian approach, even informally, promises to improve the quality of managerial thinking, analysis, and decisions in a variety of additional ways.

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