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Remarks on Confidence Intervals for Self-Similarity Parameter of a Subfractional Brownian Motion
Author(s) -
Junfeng Liu,
Litan Yan,
Zhihang Peng,
Deqing Wang
Publication year - 2012
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2012/804942
Subject(s) - mathematics , brownian motion , similarity (geometry) , limit (mathematics) , quadratic equation , quadratic variation , mathematical analysis , self similarity , motion (physics) , convergence (economics) , confidence interval , central limit theorem , fractional brownian motion , brownian excursion , interval (graph theory) , geometric brownian motion , diffusion process , statistics , combinatorics , geometry , classical mechanics , knowledge management , physics , innovation diffusion , artificial intelligence , computer science , economics , image (mathematics) , economic growth
We first present two convergence results about the second-orderquadratic variations of the subfractional Brownian motion: the first is a deterministicasymptotic expansion; the second is a central limit theorem. Next we combine theseresults and concentration inequalities to build confidence intervals for the self-similarityparameter associated with one-dimensional subfractional Brownian motion

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