We address statistical inference for linear fractional diffusion processes with random effects in the drift. In particular, we investigate maximum likelihood estimators (MLEs) of the random effect parameters. First of all, we estimate the Hurst parameter H∈(0,1) from one single subject. Second, assuming that the Hurst index H∈(0,1) is known, we derive the MLEs and examine their asymptotic behavior as the number of subjects under study becomes large, with random effects being normally distributed.
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SchlagwörterAsymptotic Normality ; Fractional Brownian Motion ; Long-range Memory Process ; Random Effects Model ; Strong Consistency