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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

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

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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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Parameter Estimation in Stochastic Volatility Models

observations of the underlying diffusion process, these traditional methods often fail to estimate the unknown parameters in the unobserved volatility;

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Fractional Diffusion Equations and Anomalous Diffusion

fractional differential equations, this self-contained text presents the possibility of using fractional diffusion equations with anomalous diffusion;

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Applied Parameter Estimation for Chemical Engineers

important optimization methods used for parameter estimation. It focuses on the Gauss-Newton method and its modifications for systems and processes;

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Applied Parameter Estimation for Chemical Engineers

important optimization methods used for parameter estimation. It focuses on the Gauss-Newton method and its modifications for systems and processes;

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Weibull Models

analysis, parameter estimation, model validation, and application; classifies the different models and their properties; intertwines theory and;

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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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Option Pricing with Long Memory Stochastic Volatility Models

prices. We also numerically study the effects of long memory on option prices. We show that the fractional integration parameter has the opposite;

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Item Response Theory

chapters discussing parameter estimation with multiple groups, parameter estimation for a test with mixed item types, and Markov chain Monte Carlo;

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Modelling and Parameter Estimation of Dynamic Systems

Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system;

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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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Parameter Estimation in Reliability and Life Span Models

Offers an applications-oriented treatment of parameter estimation from both complete and censored samples; contains notations, simplified;

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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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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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Fractional-in-Time Semilinear Parabolic Equations and Applications

framework also includes non-standard diffusion operators of fractional type, subject to appropriate boundary conditions. This book is aimed at;

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Identification of Continuous-Time Systems

secondary stage of parameter estimation. In the primary stage, the measured signals are processed by a general linear dynamic operation;

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Risk-sensitive Investment Management

in parameter estimation and numerical methods. Most importantly, it shows how to integrate jump-diffusion processes which are crucial to model market;

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Fractional-order Modeling of Nuclear Reactor: From Subdiffusive Neutron Transport to Control-oriented Models

anomalous diffusion, specifically subdiffusion, it starts with the development of fractional-order neutron telegraph equations. Using a systematic;

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Fractional Differential Equations

fractional differential equations, including time-fractional sub-diffusion equations, time-fractional wave equations, and space-fractional;

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Radiation Risk Estimation

covers nonlinear measurement error models, with a particular emphasis on efficiency of regression parameter estimators. In the second part, risk;

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Fractional Evolution Equations and Inclusions

generalizations of the much more widely developed fractional evolution equations (such as time-fractional diffusion equations) seen through the lens;

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Inference in Hidden Markov Models

range from filtering and smoothing of the hidden Markov chain to parameter estimation, Bayesian methods and estimation of the number of states;

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Control Oriented Modelling & Identificat

-based model reduction techniques; integrated modelling and parameter estimation; identification for robust control of complex systems; subspace;

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Linear Fractional Diffusion Wave Equation for Scientists and Engineers

This book systematically presents solutions to the linear time-fractional diffusion-wave equation. It introduces the integral transform;

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Pathwise Estimation and Inference for Diffusion Market Models

Pathwise estimation and inference for diffusion market models discusses contemporary techniques for inferring, from options and bond prices;

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