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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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Semimartingales and their Statistical Inference

of stochastic processes, including diffusion type processes, point processes, and diffusion type processes with jumps, widely used for stochastic;

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Semimartingales and Their Statistical Inference

of stochastic processes, including diffusion type processes, point processes, and diffusion type processes with jumps, widely used for stochastic;

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Inference for Diffusion Processes

Diffusion processes are a promising instrument for realistically modelling the time-continuous evolution of phenomena not only in the;

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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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Theory and Statistical Applications of Stochastic Processes

This book is concerned with the theory of stochastic processes and the theoretical aspects of statistics for stochastic processes. It;

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Statistical Inference for Diffusion Type Processes

processes. Diffusion type processes are a large class of continuous time processes which are widely used for stochastic modelling. the book aims to;

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Fractional Diffusion Equations and Anomalous Diffusion

Anomalous diffusion has been detected in a wide variety of scenarios, from fractal media, systems with memory, transport processes;

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Fractional Calculus and Fractional Processes with Applications to Financial Economics

Fractional Calculus and Fractional Processes with Applications to Financial Economics presents the theory and application of fractional;

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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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Linear Fractional Diffusion Wave Equation for Scientists and Engineers

. The respective sections of the book can be used for university courses on fractional calculus, heat and mass transfer, transport processes;

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Optimal Statistical Inference in Financial Engineering

Until now, few systematic studies of optimal statistical inference for stochastic processes had existed in the financial engineering;

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Dynamical Systems and Ergodic Theory at Saint-Flour

Diffusion processes are a promising instrument for realistically modelling the time-continuous evolution of phenomena not only in the;

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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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Regional Analysis of Time Fractional Diffusion Processes

This monograph provides an accessible introduction to the regional analysis of fractional diffusion processes. It begins with background;

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Fractional Differential Equations

Starting with an introduction to fractional derivatives and numerical approximations, this book presents finite difference methods for;

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Statistical Inference in Stochastic Processes

statistical techniques in image analysis and processing, develops likelihood methods for inference about parameters that determine the drift and the;

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Statistical Mechanics & Random Walks

algorithm for diffusion processes and application of random walks for the analysis of graphs, musical composition and language phylogeny.;

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Stochastic Models for Fractional Calculus

monograph develops the basic theory of fractional calculus and anomalous diffusion, from the point of view of probability. In this book, we will see;

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Large Sample Inference For Long Memory Processes

procedures for long memory processes. This text makes an attempt in this direction. The authors provide in a concise style a text at the graduate;

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Statistical Inference for Financial Engineering

This monograph provides the fundamentals of statistical inference for financial engineering and covers some selected methods suitable for;

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Statistical Portfolio Estimation

of investments. This book provides a comprehensive overview of statistical inference for portfolios and their various applications. A variety of asset;

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Statistical Portfolio Estimation

of investments. This book provides a comprehensive overview of statistical inference for portfolios and their various applications. A variety of asset;

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Parameter Estimation in Stochastic Volatility Models

well as nontraditional continuous time stochastic volatility models driven by fractional Levy processes. By incorporating jumps and long memory;

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Introduction to Empirical Processes and Semiparametric Inference

research techniques are surprisingly useful for developing methods of statistical inference for complex models and in understanding the properties;

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

differential equations driven by Wiener process, Levy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes. The;

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Fractional Calculus

of additional, newly developed numerical methods for fractional calculus and a chapter on the application of fractional calculus for modeling processes;

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