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Probabilistic Methods for Financial and Marketing Informatics

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Title: Probabilistic Methods for Financial and Marketing Informatics
Description: Probabilistic Methods for Financial and Marketing Informatics aims to provide students with insights and a guide explaining how to apply probabilistic reasoning to business problems. Rather than dwelling on rigor, algorithms, and proofs of theorems, the authors concentrate on showing examples and using the software package Netica to represent and solve problems. The book contains unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and finance. It shares insights about when and why probabilistic methods can and cannot be used effectively. This book is recommended for all R&D 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 are in advertising, venture capital decision making, operational risk measurement in any industry, credit scoring, and investment science. - 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.
Authors: Richard E. Neapolitan, Xia Jiang
Resource Type: eBook.
Subjects: Bayesian statistical decision theory--Data processing, Finance--Statistical methods, Information technology, Marketing--Statistical methods
Categories: MATHEMATICS / Applied, BUSINESS & ECONOMICS / Marketing / General
Database: eBook Collection (EBSCOhost)
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PubType: eBook
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  Data: Probabilistic Methods for Financial and Marketing Informatics
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  Data: Probabilistic Methods for Financial and Marketing Informatics aims to provide students with insights and a guide explaining how to apply probabilistic reasoning to business problems. Rather than dwelling on rigor, algorithms, and proofs of theorems, the authors concentrate on showing examples and using the software package Netica to represent and solve problems. The book contains unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and finance. It shares insights about when and why probabilistic methods can and cannot be used effectively. This book is recommended for all R&D 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 are in advertising, venture capital decision making, operational risk measurement in any industry, credit scoring, and investment science. - 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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  Data: <searchLink fieldCode="AR" term="%22Richard+E%2E+Neapolitan%22">Richard E. Neapolitan</searchLink><br /><searchLink fieldCode="AR" term="%22Xia+Jiang%22">Xia Jiang</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 332.01519542
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Bayesian statistical decision theory--Data processing
        Type: general
      – SubjectFull: Finance--Statistical methods
        Type: general
      – SubjectFull: Information technology
        Type: general
      – SubjectFull: Marketing--Statistical methods
        Type: general
    Titles:
      – TitleFull: Probabilistic Methods for Financial and Marketing Informatics
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Richard E. Neapolitan
      – PersonEntity:
          Name:
            NameFull: Xia Jiang
      – PersonEntity:
          Name:
            NameFull: Richard E. Neapolitan
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          Name:
            NameFull: Xia Jiang
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2007
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780123704771
            – Type: isbn-electronic
              Value: 9780080555676
          Titles:
            – TitleFull: Probabilistic Methods for Financial and Marketing Informatics
              Type: main
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