ALMOST SURE CENTRAL LIMIT THEOREMS FOR RANDOM RATIOS
AND APPLICATIONS TO LSE FOR FRACTIONAL
ORNSTEIN–UHLENBECK PROCESSES
Peggy Cénac
Khalifa Es-Sebaiy
Abstract: 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.
2000 AMS Mathematics Subject Classification: Primary: 60F05, 60G15, 60H05,
60H07; Secondary: 62F12.
Keywords and phrases: Almost sure central limit theorem, least squares estimator,
fractional Ornstein–Uhlenbeck process, multiple stochastic integrals.