ALMOST SURE CENTRAL LIMIT THEOREMS FOR RANDOM RATIOS AND APPLICATIONS TO LSE FOR FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES

Affiliation auteursAffiliation ok
TitreALMOST SURE CENTRAL LIMIT THEOREMS FOR RANDOM RATIOS AND APPLICATIONS TO LSE FOR FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES
Type de publicationJournal Article
Year of Publication2015
AuteursCenac P, Es-Sebaiy K
JournalPROBABILITY AND MATHEMATICAL STATISTICS-POLAND
Volume35
Pagination285-300
Type of ArticleArticle
ISSN0208-4147
Mots-clésAlmost sure central limit theorem, fractional Ornstein-Uhlenbeck process, least squares estimator, multiple stochastic integrals
Résumé

We will investigate an almost sure central limit theorem (ASCLT) for sequences of random variables having the form of a ratio of two terms such that the numerator satisfies the ASCLT and the denominator is a positive term which converges almost surely to one. This result leads to the ASCLT for least squares estimators for Ornstein-Uhlenbeck process driven by fractional Brownian motion.