Statistical and Soft Computing Approaches in Insurance Problems

[Book Description]

This book reviews the application of different statistical and Soft-Computing (SC) techniques in insurance-related problems. The book has been divided into 5 chapters, with the following structure: Chapter 1 provides a comprehensive review of SC techniques in insurance problems. A review of the application of these methods in insurance problems and a case study in a real problem completes this first chapter. Chapters 2 and 3 describe two different real applications of SC techniques in insurance. In this chapter, the authors describe the main concepts related to the algorithm and discuss different application of the algorithm in the insurance sector. Chapter 3 is devoted to a state-of-the-art technique in neural computation (Support Vector Machines, SVM). Chapter 4 presents a new mathematical tool based on modal intervals that allow us to process interval data (reflecting the fact that the data we are working with is t exact) and to interpret semantically the results obtained. Chapter 5 concentrates on two well-kwn risk measures: the Value at Risk and the Tail Value at Risk. The authors present a new analytical expression of the Tail Value at Risk using the Normal-Power approximation and they analyse its precision.

Foreword                                           vii
    Chapter 1 A Review of Computational            1  (50)
    Intelligence Algorithms in Insurance
    Applications
          S. Salcedo-Sanz
          L. Cuadra
          A. Portilla-Figueras
          S. Jimenez-Fernandez
          E. Alexandre
    Chapter 2 Rough Sets in Insurance Sector       51 (18)
          M.J. Segovia-Vargas
          Z. Diaz-Martinez
    Chapter 3 Prediction of Claims and             69 (18)
    Selection of Risk Factors in Automobile
    Insurance Using Support Vector Machines,
    Genetic Algorithms and Classification Trees
          A. Heras-Martinez
          C. Bousono-Calzon
          P. Tolmos Rodriguez-Pinero
    Chapter 4 Tail Value at Risk. An Analysis      87 (26)
    with the Normal-Power Approximation
          A. Castaner
          M.M. Claramunt
          M. Marmol
    Chapter 5 Financial Applications of Modal      113(20)
    Interval Analysis
          R. Adillon
          L. Jorba
Index                                              133