The Wiley Paperback Series makes valuable content more accessible
to a new generation of statisticians, mathematicians and
scientists.
"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 this subject and specifically
address: the principle concepts of insurance and financepractical
examples with real life datanumerical and algorithmic procedures
essential for modern insurance practices
Assuming competence in probability calculus, this book will
provide a rigorous treatment of insurance risk theory recommended
for researchers and students interested in applied probability as
well as practitioners of actuarial sciences.
"An excellent text"
Australian & New Zealand Journal of Statistics
General
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