General Stochastic Measures
eBook - ePub

General Stochastic Measures

Integration, Path Properties and Equations

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

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 Matemáticas & Probabilidad y estadística. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Table of Contents
  3. Title Page
  4. Copyright
  5. Abbreviations and Notations
  6. Introduction
  7. 1 Integration with Respect to Stochastic Measures
  8. 2 Path Properties of Stochastic Measures
  9. 3 Equations Driven by Stochastic Measures
  10. 4 Approximation of Solutions of the Equations
  11. 5 Integration and Evolution Equations in Hilbert Spaces
  12. 6 Symmetric Integrals
  13. 7 Averaging Principle
  14. 8 Solutions to Exercises
  15. References
  16. Index
  17. Wiley End User License Agreement