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Stochastic Analysis of Mixed Fractional Gaussian Processes
1st Edition
Authors:
Yuliya Mishura
Mounir Zili
eBook ISBN: 9780081023631
Hardcover ISBN: 9781785482458
Imprint: ISTE Press - Elsevier
Published Date: 22nd May 2018
Page Count: 210
Description
Stochastic Analysis of Mixed Fractional Gaussian Processes presents the main tools necessary to characterize Gaussian processes. The book focuses on the particular case of the linear combination of independent fractional and sub-fractional Brownian motions with different Hurst indices. Stochastic integration with respect to these processes is considered, as is the study of the existence and uniqueness of solutions of related SDE's. Applications in finance and statistics are also explored, with each chapter supplying a number of exercises to illustrate key concepts.
Key Features
- Presents both mixed fractional and sub-fractional Brownian motions
- Provides an accessible description for mixed fractional gaussian processes that is ideal for Master's and PhD students
- Includes different Hurst indices
Readership
Master's and Phd students and researchers specializing in statistics, stochastics and finances
Table of Contents
1. Gaussian Processes
2. Fractional and Sub-fractional Brownian Motions
3. Mixed Fractional and Mixed Sub-fractional Brownian Motions
Details
- No. of pages:
- 210
- Language:
- English
- Copyright:
- © ISTE Press - Elsevier 2018
- Published:
- 22nd May 2018
- Imprint:
- ISTE Press - Elsevier
- eBook ISBN:
- 9780081023631
- Hardcover ISBN:
- 9781785482458
About the Author
Yuliya Mishura
Yuliya Mishura is Professor and Head of the Department of Probability Theory, Statistics and Actuarial Mathematics, Faculty of Mechanics and Mathematics, Taras Shevchenko National University of Kyiv, Ukraine. Her research interests include stochastic analysis, theory of stochastic processes, stochastic differential equations, numerical schemes, financial mathematics, risk processes, statistics of stochastic processes, and models with long-range dependence.
Affiliations and Expertise
Head, Department of Probability, Statistics and Actuarial Mathematics, Faculty of Mechanics and Mathematics, Taras Shevchenko Kyiv National University, Kiev, Ukraine
Mounir Zili
Mounir Zili works at the University of Monastir, Faculty of sciences of Monastir with expertise in Probability Theory, Applied Mathematics, Analysis
Affiliations and Expertise
Professor, Faculty of Sciences, Monastir-University of Monastir
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