This paper proposes consistent and asymptotically Gaussian estimators for the parameters λ, σ and H of the discretely observed fractional Ornstein-Uhlenbeck process solution of the stochastic differential equation dYt = −λYtdt+σdWtH, where (WtH,t ≥ 0) is the fractional Brownian motion. For the estimation of the drift λ, the results are obtained only in the case when 1 < H < 3. This paper also provides ready-to-use software for the R statistical environment based on the YUIMA package.
Parameter estimation for the discretely observed fractional Ornstein-Uhlenbeck process and the Yuima R package / A. Brouste, S.M. Iacus. - In: COMPUTATIONAL STATISTICS. - ISSN 0943-4062. - 28:4(2013), pp. 1529-1547. [Epub ahead of print] [10.1007/s00180-012-0365-6]
Parameter estimation for the discretely observed fractional Ornstein-Uhlenbeck process and the Yuima R package
S.M. IacusUltimo
2013
Abstract
This paper proposes consistent and asymptotically Gaussian estimators for the parameters λ, σ and H of the discretely observed fractional Ornstein-Uhlenbeck process solution of the stochastic differential equation dYt = −λYtdt+σdWtH, where (WtH,t ≥ 0) is the fractional Brownian motion. For the estimation of the drift λ, the results are obtained only in the case when 1 < H < 3. This paper also provides ready-to-use software for the R statistical environment based on the YUIMA package.Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.