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Stochastic Disorder Problems (Hardcover, 1st ed. 2019)
Loot Price: R3,575
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Stochastic Disorder Problems (Hardcover, 1st ed. 2019)
Series: Probability Theory and Stochastic Modelling, 93
Expected to ship within 10 - 15 working days
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This monograph focuses on those stochastic quickest detection tasks
in disorder problems that arise in the dynamical analysis of
statistical data. These include quickest detection of randomly
appearing targets, of spontaneously arising effects, and of
arbitrage (in financial mathematics). There is also currently great
interest in quickest detection methods for randomly occurring
intrusions in information systems and in the design of defense
methods against cyber-attacks. The author shows that the majority
of quickest detection problems can be reformulated as optimal
stopping problems where the stopping time is the moment the
occurrence of disorder is signaled. Thus, considerable attention is
devoted to the general theory of optimal stopping rules, and to its
concrete problem-solving methods. The exposition covers both the
discrete time case, which is in principle relatively simple and
allows step-by-step considerations, and the continuous-time case,
which often requires more technical machinery such as martingales,
supermartingales, and stochastic integrals. There is a focus on the
well-developed apparatus of Brownian motion, which enables the
exact solution of many problems. The last chapter presents
applications to financial markets. Researchers and graduate
students interested in probability, decision theory and statistical
sequential analysis will find this book useful.
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