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Large deviations for the squared radial Ornstein-Uhlenbeck process (1407.4949v3)

Published 18 Jul 2014 in math.PR, math.ST, and stat.TH

Abstract: We establish large deviation principles for the couple of the maximum likelihood estimators of dimensional and drift coefficients in the generalised squared radial Ornstein-Uhlenbeck process. We focus our attention to the most tractable situation where the dimensional parameter $a>2$ and the drift parameter $b<0$. In contrast to the previous literature, we state large deviation principles when both dimensional and drift coefficient are estimated simultaneously.

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