Chorowski / Gubiec / Kutner

Anomalous Stochastics

A Comprehensive Guide to Multifractals, Random Walks, and Real-World Applications

Springer

ISBN 978-3-031-80391-8

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Bibliografische Daten

Fachbuch

Buch. Hardcover

2025

50 s/w-Abbildungen, 16 Farbabbildungen.

In englischer Sprache

Umfang: xv, 402 S.

Format (B x L): 15,5 x 23,5 cm

Verlag: Springer

ISBN: 978-3-031-80391-8

Produktbeschreibung

This textbook provides a comprehensive exploration of anomalous stochastic processes and extreme events, commonly referred to as "black swans," with a particular focus on (multi-)fractal approaches and continuous-time random walks. The authors present a systematic examination of the subject, tracing its inception and providing a multi-directional perspective. By drawing on real-world experiences in finance, physics, and technology, the book underscores the practical relevance of anomalous stochastic processes for practitioners dealing with real-world data from complex systems. The content is based on a series of interdisciplinary physics lectures that have been delivered to undergraduate and graduate students at the University of Warsaw for nearly two decades. Updated to reflect recent developments, this book is a valuable resource for graduate students, ambitious undergraduate students, and researchers interested in random processes and the practical implications of anomalous processes. Familiarity with fundamental principles of probability theory, algebra, and basic concepts of differential and integral calculus is assumed, while a foundational understanding of mathematical statistics, stochastic processes, and statistical thermodynamics is recommended. Additionally, each chapter includes practical exercises designed to help readers master the concepts, develop practical skills, and serve as teaching material.

Autorinnen und Autoren

Kundeninformationen

Shows the application of random walks in various fields, from physics to finance Enriched with exercises to master the subject and gain practical skills A comprehensive guide for graduate students to understand anomalous stochastic processes and extreme events

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