LEADER 04851nam 2200685 a 450 001 9910828813603321 005 20230120004907.0 010 $a1-281-31147-2 010 $a9786611311476 010 $a0-08-055567-5 035 $a(CKB)1000000000383563 035 $a(EBL)344676 035 $a(OCoLC)476160765 035 $a(SSID)ssj0000227843 035 $a(PQKBManifestationID)11201044 035 $a(PQKBTitleCode)TC0000227843 035 $a(PQKBWorkID)10269883 035 $a(PQKB)10551944 035 $a(Au-PeEL)EBL344676 035 $a(CaPaEBR)ebr10229459 035 $a(CaONFJC)MIL131147 035 $a(CaSebORM)9780123704771 035 $a(MiAaPQ)EBC344676 035 $a(EXLCZ)991000000000383563 100 $a20061221d2007 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aProbabilistic methods for financial and marketing informatics$b[electronic resource] /$fRichard E. Neapolitan, Xia Jiang 205 $a1st edition 210 $aSan Fransisco, CA $cMorgan Kaufmann Publishers$dc2007 215 $a1 online resource (427 p.) 300 $aDescription based upon print version of record. 311 $a0-12-370477-4 320 $aIncludes bibliographical references (p. 397-408) and index. 327 $aFront Cover; Probabilistic Methods for Financial and Marketing Informatics; Copyright Page; Preface; Contents; Part I: Bayesian Networks and Decision Analysis; Chapter 1. Probabilistic Informatics; 1.1 What Is Informatics?; 1.2 Probabilistic Informatics; 1.3 Outline of This Book; Chapter 2. Probability and Statistics; 2.1 Probability Basics; 2.2 Random Variables; 2.3 The Meaning of Probability; 2.4 Random Variables in Applications; 2.5 Statistical Concepts; Chapter 3. Bayesian Networks; 3.1 What Is a Bayesian Network?; 3.2 Properties of Bayesian Networks 327 $a3.3 Causal Networks as Bayesian Networks 3.4 Inference in Bayesian Networks; 3.5 How Do We Obtain the Probabilities?; 3.6 Entailed Conditional Independencies *; Chapter 4. Learning Bayesian Networks; 4.1 Parameter Learning; 4.2 Learning Structure (Model Selection); 4.3 Score-Based Structure Learning *; 4.4 Constraint-Based Structure Learning; 4.5 Causal Learning; 4.6 Software Packages for Learning; 4.7 Examples of Learning; Chapter 5. Decision Analysis Fundamentals; 5.1 Decision Trees; 5.2 Influence Diagrams; 5.3 Dynamic Networks *; Chapter 6. Further Techniques in Decision Analysis 327 $a6.1 Modeling Risk Preferences 6.2 Analyzing Risk Directly; 6.3 Dominance; 6.4 Sensitivity Analysis; 6.5 Value of Information; 6.6 Normative Decision Analysis; Part II: Financial Applications; Chapter 7. Investment Science; 7.1 Basics of Investment Science; 7.2 Advanced Topics in Investment Science*; 7.3 A Bayesian Network Portfolio Risk Analyzer *; Chapter 8. Modeling Real Options; 8.1 Solving Real Options Decision Problems; 8.2 Making a Plan; 8.3 Sensitivity Analysis; Chapter 9. Venture Capital Decision Making; 9.1 A Simple VC Decision Model; 9.2 A Detailed VC Decision Model 327 $a9.3 Modeling Real Decisions 9.A Appendix; Chapter 10. Bankruptcy Prediction; 10.1 A Bayesian Network for Predicting Bankruptcy; 10.2 Experiments; Part III: Marketing Applications; Chapter 11. Collaborative Filtering; 11.1 Memory-Based Methods; 11.2 Model-Based Methods; 11.3 Experiments; Chapter 12. Targeted Advertising; 12.1 Class Probability Trees; 12.2 Application to Targeted Advertising; Bibliography; Index 330 $aBayesian 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 informati 606 $aFinance$xStatistical methods 606 $aBayesian statistical decision theory$xData processing 606 $aMarketing$xStatistical methods 606 $aInformation technology 615 0$aFinance$xStatistical methods. 615 0$aBayesian statistical decision theory$xData processing. 615 0$aMarketing$xStatistical methods. 615 0$aInformation technology. 676 $a332.01/519542 700 $aNeapolitan$b Richard E$0102040 701 $aJiang$b Xia$01657142 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910828813603321 996 $aProbabilistic methods for financial and marketing informatics$94010423 997 $aUNINA