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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| Format: | eBook |
| Language: | English |
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San Fransisco, CA :
Morgan Kaufmann Publishers,
[2007]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book Table of contents only Publisher description |
MARC
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| 020 | |a 9780123704771 | ||
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| 100 | 1 | |a Neapolitan, Richard E. | |
| 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] | |
| 264 | 4 | |c ©2007 | |
| 300 | |a viii, 413 pages : |b illustrations ; |c 24 cm. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 533 | |a Electronic reproduction. |b Amsterdam : |c Elsevier Science & Technology, |d 2007. |n Mode of access: World Wide Web. |n System requirements: Web browser. |n Title from title screen (viewed on July 25, 2007). |n Access may be restricted to users at subscribing institutions. | ||
| 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. | ||
| 650 | 0 | |a Finance |x Statistical methods. | |
| 650 | 0 | |a Bayesian statistical decision theory |x Data processing. | |
| 650 | 0 | |a Marketing |x Statistical methods. | |
| 650 | 0 | |a Information technology. | |
| 655 | 7 | |a Electronic books. |2 local | |
| 700 | 1 | |a Jiang, Xia. | |
| 730 | 0 | |a Referex. | |
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