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Intelligent and Other Computational Techniques in Insurance:Theory and Applications

Editor

Listed:
  • A F Shapiro
    (Penn State University, USA)

  • L C Jain
    (University of South Australia, Australia)

Abstract

This book presents recent advances in the theory and implementation of intelligent and other computational techniques in the insurance industry. The paradigms covered encompass artificial neural networks and fuzzy systems, including clustering versions, optimization and resampling methods, algebraic and Bayesian models, decision trees and regression splines. Thus, the focus is not just on intelligent techniques, although these constitute a major component; the book also deals with other current computational paradigms that are likely to impact on the industry. The application areas include asset allocation, asset and liability management, cash-flow analysis, claim costs, classification, fraud detection, insolvency, investments, loss distributions, marketing, pricing and premiums, rate-making, retention, survival analysis, and underwriting.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • A F Shapiro & L C Jain (ed.), 2003. "Intelligent and Other Computational Techniques in Insurance:Theory and Applications," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 5441, January.
    • Handle: RePEc:wsi:wsbook:5441
    as

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