General Stochastic Measures
eBook - PDF

General Stochastic Measures

Integration, Path Properties and Equations

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

General Stochastic Measures

Integration, Path Properties and Equations

About this book

This book is devoted to the study of stochastic measures (SMs). An SM is a sigma-additive in probability random function, defined on a sigma-algebra of sets. SMs can be generated by the increments of random processes from many important classes such as square-integrable martingales and fractional Brownian motion, as well as alpha-stable processes. SMs include many well-known stochastic integrators as partial cases.

General Stochastic Measures provides a comprehensive theoretical overview of SMs, including the basic properties of the integrals of real functions with respect to SMs. A number of results concerning the Besov regularity of SMs are presented, along with equations driven by SMs, types of solution approximation and the averaging principle. Integrals in the Hilbert space and symmetric integrals of random functions are also addressed.

The results from this book are applicable to a wide range of stochastic processes, making it a useful reference text for researchers and postgraduate or postdoctoral students who specialize in stochastic analysis.

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Yes, you can access General Stochastic Measures by Vadym M. Radchenko in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley-ISTE
Year
2022
Print ISBN
9781786308283
eBook ISBN
9781394163915

Table of contents

  1. Cover
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Abbreviations and Notations
  7. Introduction
  8. Chapter 1. Integration with Respect to Stochastic Measures
  9. Chapter 2. Path Properties of Stochastic Measures
  10. Chapter 3. Equations Driven by Stochastic Measures
  11. Chapter 4. Approximation of Solutions of the Equations
  12. Chapter 5. Integration and Evolution Equations in Hilbert Spaces
  13. Chapter 6. Symmetric Integrals
  14. Chapter 7. Averaging Principle
  15. Chapter 8. Solutions to Exercises
  16. References
  17. Index
  18. Other titles from iSTE in Mathematics and Statistics
  19. EULA