Statistical inference for fractional diffusion processes

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September 16, 2021 | History

Statistical inference for fractional diffusion processes

"Statistical Inference for Fractional Diffusion Processes looks at statistical inference for stochastic processes modeled by stochastic differential equations driven by fractional Brownian motion. Other related processes, such as sequential inference, nonparametric and non parametric inference and parametric estimation are also discussed"--

Publish Date
Publisher
Wiley
Language
English
Pages
252

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Edition Availability
Cover of: Statistical Inference for Fractional Diffusion Processes
Statistical Inference for Fractional Diffusion Processes
2011, Wiley & Sons, Incorporated, John
in English
Cover of: Statistical Inference for Fractional Diffusion Processes
Statistical Inference for Fractional Diffusion Processes
2011, Wiley & Sons, Incorporated, John
in English
Cover of: Statistical Inference for Fractional Diffusion Processes
Statistical Inference for Fractional Diffusion Processes
2010, Wiley & Sons, Limited, John
in English
Cover of: Statistical inference for fractional diffusion processes
Statistical inference for fractional diffusion processes
2010, Wiley
in English
Cover of: Statistical Inference for Fractional Diffusion Processes
Statistical Inference for Fractional Diffusion Processes
2010, Wiley & Sons, Incorporated, John
in English

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Book Details


Table of Contents

Preface
1 Fractional Brownian Motion and Related Processes
1.1 Introduction
1.2 Self-similar processes
1.3 Fractional Brownian motion
1.4 Stochastic differential equations driven by fBm
1.5 Fractional Ornstein-Uhlenbeck type process
1.6 Mixed fractional Brownian motion
1.7 Donsker type approximation for fBm with Hurst index H >
1.8 Simulation of fractional Brownian motion
1.9 Remarks on application of modelling by fBm in mathematical finance
1.10 Path wise integration with respect to fBm
2 Parametric Estimation for Fractional Diffusion Processes
2.1 Introduction
2.2 Stochastic differential equations and local asymptotic normality
2.3 Parameter estimation for linear SDE
2.4 Maximum likelihood estimation
2.5 Bayes estimation
2.6 Berry-Esseen type bound for MLE
2.7-upper and lower functions for MLE
2.8 Instrumental variable estimation
3 Parametric Estimation for Fractional Ornstein-Uhlenbeck Type Process
3.1 Introduction
3.2 Preliminaries
3.3 Maximum likelihood estimation
3.4 Bayes estimation
3.5 Probabilities of large deviations of MLE and BE
3.6 Minimum L1-norm estimation
4 Sequential Inference for Some Processes Driven by Fractional Brownian
Motion
4.1 Introduction
4.2 Sequential maximum likelihood estimation
4.3 Sequential testing for simple hypothesis
5 Nonparametric Inference for Processes Driven by Fractional Brownian
Motion
5.1 Introduction
5.2 Identification for linear stochastic systems
5.3 Nonparametric estimation of trend
6 Parametric Inference for Some SDE's Driven by Processes Related to FBM
6.1 Introduction
6.2 Estimation of the the translation of a process driven by a fBm
6.3 Parametric inference for SDE with delay governed by a fBm
6.4 Parametric estimation for linear system of SDE driven by fBm's with different Hurst indices
6.5 Parametric estimation for SDE driven by mixed fBm
6.6 Alternate approach for estimation in models driven by fBm
6.7 Maximum likelihood estimation under misspecified model
7 Parametric Estimation for Processes Driven by Fractional Brownian Sheet
7.1 Introduction
7.2 Parametric estimation for linear SDE driven by a fractional Brownian sheet
8 Parametric Estimation for Processes Driven by Infinite Dimensional Fractional
Brownian Motion
8.1 Introduction
8.2 Parametric estimation for SPDE driven by infinite dimensional fBm
8.3 Parametric estimation for stochastic parabolic equations driven by infinite dimensional fBm
9 Estimation of Self-Similarity Index
9.1 Introduction
9.2 Estimation of the Hurst index H when H is a constant and 12 < H < 1 for fBm
9.3 Estimation of scaling exponent function H(.) for locally self-similar processes
10 Filtering and Prediction for Linear Systems Driven by Fractional Brownian
Motion
10.1 Introduction
10.2 Prediction of fractional Brownian motion
10.3 Filtering in a simple linear system driven by a fBm
10.4 General approach for filtering for linear systems driven by fBm References
Index

Edition Notes

Includes bibliographical references (p. [239]-249) and index.

Published in
Chichester, West Sussex
Series
Wiley series in probability and statistics, Wiley series in probability and statistics

Classifications

Dewey Decimal Class
515/.83
Library of Congress
QA314 .P73 2010, QA276

The Physical Object

Pagination
xii, 252 p. :
Number of pages
252

Edition Identifiers

Open Library
OL24880172M
Internet Archive
statisticalinfer00raob
ISBN 10
0470665688
ISBN 13
9780470665688
LCCN
2010010075
OCLC/WorldCat
659412731

Work Identifiers

Work ID
OL15975077W

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September 16, 2021 Edited by ImportBot import existing book
July 7, 2019 Edited by MARC Bot import existing book
July 29, 2011 Created by LC Bot import new book