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Maximum likelihood drift estimation for the mixing of two fractional Brownian motions (1506.04731v1)

Published 15 Jun 2015 in math.PR and stat.ME

Abstract: We construct the maximum likelihood estimator (MLE) of the unknown drift parameter $\theta\in \mathbb{R}$ in the linear model $X_t=\theta t+\sigma B{H_1}(t)+B{H_2}(t),\;t\in[0,T],$ where $B{H_1}$ and $B{H_2}$ are two independent fractional Brownian motions with Hurst indices $\frac12<H_1<H_2<1.$ The formula for MLE is based on the solution of the integral equation with weak polar kernel.

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