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Parameter estimation for the discretely observed fractional Ornstein–Uhlenbeck process and the Yuima R package

✍ Scribed by Alexandre Brouste, Stefano M. Iacus


Book ID
120743804
Publisher
Springer
Year
2012
Tongue
English
Weight
313 KB
Volume
28
Category
Article
ISSN
0943-4062

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Optimal designs for parameter estimation
✍ Maroussa Zagoraiou; Alessandro Baldi Antognini 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 152 KB 👁 2 views

## Abstract This paper deals with optimal designs for Gaussian random fields with constant trend and exponential correlation structure, widely known as the Ornstein–Uhlenbeck process. Assuming the maximum likelihood approach, we study the optimal design problem for the estimation of the trend µ and