Stochastic Processes for Insurance and Finance (Wiley Series in Probability and Statistics, #505)

by Tomasz Rolski, Hanspeter Schmidli, V. Schmidt, and Jozef Teugels

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Stochastic Processes for Insurance and Finance offers a thorough yet accessible reference for researchers and practitioners of insurance mathematics. Building on recent and rapid developments in applied probability, the authors describe in general terms models based on Markov processes, martingales and various types of point processes. Discussing frequently asked insurance questions, the authors present a coherent overview of the subject and specifically address: * The principal concepts from insurance and finance * Practical examples with real life data * Numerical and algorithmic procedures essential for modern insurance practices Assuming competence in probability calculus, this book will provide a fairly rigorous treatment of insurance risk theory recommended for researchers and students interested in applied probability as well as practitioners of actuarial sciences. Wiley Series in Probability and Statistics
  • ISBN13 9780470860427
  • Publish Date 21 November 2000 (first published 21 January 1999)
  • Publish Status Active
  • Publish Country US
  • Imprint John Wiley & Sons Inc