Description
This comprehensive book establishes the Zili generalized fractional Brownian motion (ZgfBm) as a powerful new foundation in the mathematical theory of stochastic processes.
Generalized Fractional Brownian Motion provides the first rigorous and systematic stochastic analysis of the ZgfBm, a versatile Gaussian process that uniquely extends both the classic fractional Brownian motion with stationary increments and the sub-fractional Brownian motion with nonstationary increments. Defined by three tunable parameters, the ZgfBm offers unprecedented flexibility for modeling complex phenomena across diverse fields, overcoming the limitations of single-parameter models.
The book carefully builds from foundational Gaussian theory and key fractional processes to advanced topics, including a complete methodology for parameter estimation, the development of a rigorous stochastic calculus with generalized Itô formulas and an investigation into the regularity of solutions to stochastic heat equations. This essential resource provides researchers, practitioners and graduate students with a unified and in-depth perspective on advanced fractional Gaussian processes.
Table of Contents
Introduction ix
Chapter 1. Gaussian Processes 1
Chapter 2. Key Fractional Gaussian Processes: Building Blocks for the Generalized Fractional Brownian Motion 35
Chapter 3. The Zili Generalized Fractional Brownian Motion: Definition and Core Properties 63
Chapter 4. Parameter Estimation for the Generalized Fractional Brownian Motion 93
Chapter 5. Stochastic Calculus with Generalized Fractional Brownian Motion 123
Chapter 6. Stochastic Partial Differential Equations Driven by a ZgfBm Noise 171
Appendix 203
References 225
Index 231
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