Least squares estimation for non-ergodic weighted fractional Ornstein-Uhlenbeck process of general parameters

Abstract

Let $B^{a,b}:=\{B_t^{a,b},t\ge 0\}$ be a weighted fractional Brownian motion of parameters $a>-1$, $|b|<1$, $|b|<a+1$. We consider a least square-type method to estimate the drift parameter $\theta >0$ of the weighted fractional Ornstein-Uhlenbeck process $X:=\{X_t,t\ge 0\}$ defined by $X_0=0;d{X}_t=\theta X_{t}dt+d{B}_t^{a,b}$. In this work, we provide least squares-type estimators for $\theta$ based continuous-time and discrete-time observations of $X$. The strong consistency and the asymptotic behavior in distribution of the estimators are studied for all $(a,b)$ such that $a>-1$, $|b|<1$, $|b|<a+1$. Here we extend the results of \cite{SYY2,SYY} (resp. \cite{CSC}), where the strong consistency and the asymptotic distribution of the estimators are proved for $-\frac{1}{2}<a<0$, $-a<b<a+1$ (resp. $-1<a<0$, $-a<b<a+1$).