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You searched IISERK - Subject: Bayesian statistical decision theory.
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Request |
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Call Number
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332.01/519542
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Author
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Neapolitan, Richard E.
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Title
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Probabilistic methods for financial and marketing informatics [electronic resource] / Richard E. Neapolitan, Xia Jiang.
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Publication
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San Fransisco, CA : Morgan Kaufmann Publishers, c2007.
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Material Info.
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viii, 413 p. : ill. ; 24 cm.
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Summary Note
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Bayesian Networks are a form of probabilistic graphical models and they are used for modeling knowledge in many application areas, from medicine to image processing. They are particularly useful for business applications, ans * Unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and finance. * Shares insights about when and why probabilistic methods can and cannot be used effectively; * Complete review of Bayesian networks and probabilistic methods for those IT professionals new to informatics.
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Notes
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Includes bibliographical references (p. 397-408) and index.
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Notes
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I: Informatics and Baysesian Networks; Introduction to Informatics; Basics of Probability and Statistics; Algorithms for Bayesian Networks; Decision Trees and Influence Diagrams. II: Business Informatics: Collaborative Filtering; Targeted Advertising; Market Basket Analysis; Venture Capital Decision Making; Measuring Operational Risk; Credit Scoring; Applications to Investment Science. Appendices.
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Notes
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Electronic reproduction. Amsterdam : Elsevier Science & Technology, 2007.
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ISBN
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9780123704771
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ISBN
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0123704774
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Subject
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Finance Statistical methods.
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Subject
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Bayesian statistical decision theory Data processing.
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Subject
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Marketing Statistical methods.
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Subject
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Information technology.
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Subject
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Electronic books.
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Added Entry
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Jiang, Xia.
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Added Entry
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ScienceDirect (Online service)
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Date
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Year, Month, Day:01405141
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Link
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An electronic book accessible through the World Wide Web; click for information ScienceDirect
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Link
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Table of contents only
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Link
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Publisher description
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