Parameter estimation for the FOU(p) process with the same lambda
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The FOU(p) processes can be considered as an alternative to ARMA (or ARFIMA) processes to model time series. Also, there is no substantial loss when we model a time series using FOU(p) processes with the same lambda, than using differents values of lambda. In this work we propose a new method to estimate the unique value of lambda in a FOU(p) process. Under certain conditions, we will prove consistency and asymptotic normality. We will show that this new method is more easy and fast to compute. By simulations, we show that the new procedure work well and is more efficient than the general method. Also, we include an application to real data, and we show that the new method work well too and outperforms the family of ARMA(p, q).
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