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Stochastic Disorder Problems

Szerző: Albert N. Shiryaev, Andrei Iacob

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer Nature Switzerland AG

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

49 832 Ft

This monograph focuses on those stochastic quickest detection tasks in disorder problems that arise...

Információk a könyvről

Szerző

Albert N. Shiryaev, Andrei Iacob

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2019

oldal

397

EAN

9783030015251

Enbook ID

20124458

Kiadó

Springer Nature Switzerland AG

Súly

793

Méretek

155 x 235 x 29

Teljes leírás

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.