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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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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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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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Analysis For Diffusion Processes On Riemannian Manifolds

Stochastic analysis on Riemannian manifolds without boundary has been well established. However, the analysis for reflecting diffusion;

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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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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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Introduction to Empirical Processes and Semiparametric Inference

Kosorok's brilliant text provides a self-contained introduction to empirical processes and semiparametric inference. These powerful;

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Bayesian Inference for Stochastic Processes

This is the first book designed to introduce Bayesian inference procedures for stochastic processes. There are clear advantages to the;

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Bayesian Inference for Stochastic Processes

This is the first book designed to introduce Bayesian inference procedures for stochastic processes. There are clear advantages to the;

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Stochastic Differential Equations and Diffusion Processes

Stochastic Differential Equations and Diffusion Processes;

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Stochastic Processes - Inference Theory

for stochastic processes and measures, and includes recent material on Ridge regression with some unexpected applications, for example;

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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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Diffusion in Solids

predict the occurrence of diffusion in alloys subjected to various processes. Major topic areas covered include diffusion equations, atomic theory;

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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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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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Nonlinear Reaction-Diffusion Processes for Nanocomposites

-diffusion processes can be simulated and justified mathematically by means of homogenization processes when a certain critical scale is used in the;

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Self-Inference Processes

Although self-inference processes -- the ways individuals make judgments about themselves -- have been studied in social psychology 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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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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Functional Analytic Techniques for Diffusion Processes

probability (microscopic approach) via the mathematics needed for the hard parts of diffusion processes. This work brings these three fields;

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Self-Inference Processes

Although self-inference processes -- the ways individuals make judgments about themselves -- have been studied in social psychology and;

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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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Point Processes and Their Statistical Inference

treatment of the theory of point processes and statistical inference for point processes-highlighting both pointprocesses on the real line and sp;

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