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Nonparametric estimation of linear multiplier for processes driven by a bifractional Brownian motion (2406.07889v1)

Published 12 Jun 2024 in math.ST and stat.TH

Abstract: We study the problem of nonparametric estimation of the linear multiplier function $\theta(t)$ for processes satisfying stochastic differential equations of the type $$dX_t=\theta(t)X_tdt+\epsilon dW_t{H,K}, X_0=x_0,0\leq t \leq T$$ where ${W_t{H,K}, t \geq 0}$ is a bifractional Brownian motion with known parameters $H\in (0,1), K\in (0,1]$ and $HK\in (\frac{1}{2},1).$ We investigate the asymptotic behaviour of the estimator of the unknown function $\theta(t)$ as $\epsilon \rightarrow 0.$

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