English

Nonparametric estimation of linear multiplier for processes driven by a bifractional Brownian motion

Statistics Theory 2024-06-13 v1 Statistics Theory

Abstract

We study the problem of nonparametric estimation of the linear multiplier function θ(t)\theta(t) for processes satisfying stochastic differential equations of the type dXt=θ(t)Xtdt+ϵdWtH,K,X0=x0,0tTdX_t=\theta(t)X_tdt+\epsilon dW_t^{H,K}, X_0=x_0,0\leq t \leq T where {WtH,K,t0}\{W_t^{H,K}, t \geq 0\} is a bifractional Brownian motion with known parameters H(0,1),K(0,1]H\in (0,1), K\in (0,1] and HK(12,1).HK\in (\frac{1}{2},1). We investigate the asymptotic behaviour of the estimator of the unknown function θ(t)\theta(t) as ϵ0.\epsilon \rightarrow 0.

Keywords

Cite

@article{arxiv.2406.07889,
  title  = {Nonparametric estimation of linear multiplier for processes driven by a bifractional Brownian motion},
  author = {B. L. S. Prakasa Rao},
  journal= {arXiv preprint arXiv:2406.07889},
  year   = {2024}
}
R2 v1 2026-06-28T17:02:37.346Z