Large deviations for the squared radial Ornstein-Uhlenbeck process
Résumé
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.
Domaines
Probabilités [math.PR]Origine | Fichiers produits par l'(les) auteur(s) |
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