Probabilistic methods for financial and marketing informatics Nepolitan, Richard E.

By:

Nepolitan, Richard E

Contributor(s):

Jiang, Xia

Publication details: San Francisco Morgan Kaufmann 2007Description: x, 413 pISBN:

9780123704771

Subject(s):

DDC classification:

332.01519542

Summary: This book is for all RandD professionals and students who are involved with industrial informatics that is, applying the methodologies of computer science and engineering to business or industry information. This includes Computer Science and other professionals in the data management and data mining field whose interests are business and marketing information in general, and who want to apply AI and probabilistic methods to their problems--in order to better predict how well a product or service will do in a particular market, for instance. Typical fields where this technology is used is in advertising, venture capital decision making, operational risk measurement in any industry, credit scoring, and investment science. (Source: http://www.elsevier.com)

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Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Book	Ahmedabad	332.01519542 N3P7 (Browse shelf(Opens below))	Available		167983

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Previous	332.015195 S8 Statistical methods in finance	332.015195 S8F4 Financial statistics and mathematical finance: methods, models and applications	332.015195 W2F4 Financial econometrics: methods and models	332.01519542 N3P7 Probabilistic methods for financial and marketing informatics	332.01519542 R2B2 Bayesian methods in finance	332.0151955 H2 Handbook of financial time series	332.018 A2/2008-6 Advances in quantitative analysis of finance and accounting Vol. - VI	Next

Includes bibliographical references (p. 397-408) and index.

This book is for all RandD professionals and students who are involved with industrial informatics that is, applying the methodologies of computer science and engineering to business or industry information. This includes Computer Science and other professionals in the data management and data mining field whose interests are business and marketing information in general, and who want to apply AI and probabilistic methods to their problems--in order to better predict how well a product or service will do in a particular market, for instance. Typical fields where this technology is used is in advertising, venture capital decision making, operational risk measurement in any industry, credit scoring, and investment science. (Source: http://www.elsevier.com)

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