摘要

We consider the minimum L-1-norm estimator theta(epsilon)* of the parameter theta of a linear stochastic differential equation dX(t) = theta X-t dt + epsilon dB(t)(H), X-0 = x(0), where {B-t(H), 0 <= t <= T} is a fractional Brownian motion. The asymptotic law of its limit distribution is studied for T -> +infinity, when epsilon -> 0.

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