Insurance Mathematics - 1st Edition - ISBN: 9781785480829

Insurance Mathematics

1st Edition

Stochastic Models and Mathematical Methods

Authors: Riccardo Gatto
Hardcover ISBN: 9781785480829
Imprint: ISTE Press - Elsevier
Published Date: 1st September 2019
Page Count: 200
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Insurance Mathematics: Stochastic Models and Mathematical Methods gives a modern overview on the topic, emphasizing stochastic modeling and related mathematical methods. Topics covered include models for individual and aggregate losses in a portfolio of risks, models for compound losses, methods for determining premium rates, and credibility theory, which is based on Bayesian statistics. Experience rated premiums are also discussed using the Bühlmann Straub model and other general models. The last part of this important monograph introduces important computational techniques and how to distinguish the methods arising from asymptotic analysis, i.e., the Laplace and saddlepoint approximation.

Key Features

  • Presents methods for determining premium rates
  • Includes asymptotic approximations
  • Introduces particular models of life insurance and important computational techniques


Scientists, researchers and engineers interested in this subject area

Table of Contents

1. Introduction
2. Individual losses
3. Compound losses
4. Credibility theory
5. Compound Poisson Risk processes
6. General risk processes
7. Models of life insurance
8. Approximation and computational methods


No. of pages:
© ISTE Press - Elsevier 2019
ISTE Press - Elsevier
Hardcover ISBN:

About the Author

Riccardo Gatto

Ricardo Gatto is an Associate Professor of Statistics, Applied Probability and Actuarial Mathematics at the Institute of Mathematical Statistics and Actuarial Science of the University of Bern

Affiliations and Expertise

University of Bern, Switzerland

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