Probabilistic methods for financial and marketing informatics /

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 pr...

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Bibliographic Details
Main Author: Neapolitan, Richard E.
Corporate Author: ScienceDirect (Online service)
Other Authors: Jiang, Xia
Format: eBook
Language:English
Published: San Fransisco, CA : Morgan Kaufmann Publishers, [2007]
Subjects:
Online Access:Connect to the full text of this electronic book
Table of contents only
Publisher description

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245 1 0 |a Probabilistic methods for financial and marketing informatics /  |c Richard E. Neapolitan, Xia Jiang. 
264 1 |a San Fransisco, CA :  |b Morgan Kaufmann Publishers,  |c [2007] 
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520 |a 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. 
505 0 |a 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. 
504 |a Includes bibliographical references (pages 397-408) and index. 
500 |a Electronic resource. 
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650 0 |a Bayesian statistical decision theory  |x Data processing. 
650 0 |a Marketing  |x Statistical methods. 
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