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Stochastic Analysis of Mixed Fractional Gaussian Processes

Stochastic Analysis of Mixed Fractional Gaussian Processes presents the main tools necessary to characterize Gaussian processes. The book;

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Analysis Of Fractional Stochastic Processes

This volume contains pedagogical, review and research level papers on fractional stochastic and quantum processes which have been the focus;

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Fractional Calculus and Fractional Processes with Applications to Financial Economics

calculus and fractional processes to asset pricing, financial time-series analysis, stochastic volatility modelling, and portfolio optimization;

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Statistical Inference for Fractional Diffusion Processes

point of view. This book deals with Fractional Diffusion Processes and statistical inference for such stochastic processes. The main focus;

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Theory and Statistical Applications of Stochastic Processes

Gaussian processes, Ito integration, stochastic analysis, stochastic differential equations, fractional Brownian motion and parameter estimation;

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Fractional Signals and Systems

derivatives of stochastic processes. It is an essential reference for researchers in mathematics, physics, and engineering.;

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Stochastic Analysis & Applications

Contents: On the Large & Small Increments of Fractional Lvy Brownian Fields; On Oblique Reflecting Switched Diffusion Processes; On the;

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Simulation and Inference for Stochastic Processes with Yuima: A Comprehensive R Framework for Sdes and Other Stochastic Processes

supports stochastic numerical analysis by fast computation of the expected value of functionals of stochastic processes through automatic;

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Generalized Fractional Calculus

also great impact in numerical analysis, stochastics and fractional differential equations. The book continues with generalized fractional;

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Generalized Fractional Calculus

also great impact in numerical analysis, stochastics and fractional differential equations. The book continues with generalized fractional;

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Stochastic Calculus and Differential Equations for Physics and Finance

series analysis. Stochastic calculus is developed using general martingales. Scaling and fat tails are presented via diffusive models. Fractional;

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Potential Analysis of Stable Processes and its Extensions

probabilistic potential theory of stable stochastic processes, and, from the analytical point of view, of the fractional Laplacian. The introduction;

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Option Pricing with Long Memory Stochastic Volatility Models

propose two fractional continuous time stochastic volatility models which are built on the popular short memory stochastic volatility models;

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Beyond The Triangle

involves time-fractional order derivatives and spatial pseudo-differential operators; and the associated stochastic differential equation describes;

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Time Series Analysis

under Part II: Analysis of Fractional Time Series. Chapter 12 discusses the basic theory of long-memory processes by introducing ARFIMA models;

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Stochastic Calculus for Fractional Brownian Motion and Applications

be familiar with probability theory and stochastic analysis, although the mathematical techniques used in the book are thoroughly exposed and;

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Stochastic Calculus for Fractional Brownian Motion and Applications

be familiar with probability theory and stochastic analysis, although the mathematical techniques used in the book are thoroughly exposed and;

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Parameter Estimation in Fractional Diffusion Models

This book is devoted to parameter estimation in diffusion models involving fractional Brownian motion and related processes. For many years;

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Introduction to Fractional and Pseudo Differential Equations with Singular Symbo

large class of stochastic processes are presented. A complex version of the theory of pseudo-differential operators with meromorphic symbols;

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Fractional Evolution Equations and Inclusions

Fractional evolution inclusions are an important form of differential inclusions within nonlinear mathematical analysis. They are;

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An Introduction to Continuous-Time Stochastic Processes

processes, stochastic integrals, and stochastic differential equations. Expertly balancing theory and applications, the work features concrete;

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Bayesian Analysis of Stochastic Process Models

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified;

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A Second Course in Stochastic Processes

>A First Course. We emphasize a careful treatment of basic structures in stochastic processes in symbiosis with the analysis of natural;

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Selected Aspects of Fractional Brownian Motion

Fractional Brownian motion (fBm) is a stochastic process which deviates significantly from Brownian motion and semimartingales, and others;

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Selected Aspects of Fractional Brownian Motion

Fractional Brownian motion (fBm) is a stochastic process which deviates significantly from Brownian motion and semimartingales, and others;

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Cambridge Studies in Advanced Mathematics

analysis and stochastic analysis. It focuses on 'dimension' as a basic counter of degrees of freedom, leading to precise relations between;

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Fractional-Order Models for Nuclear Reactor Analysis

Fractional-Order Models for Nuclear Reactor Analysis presents fractional modeling issues in the context of anomalous diffusion;

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