Nonparametric Estimation of Linear Multiplier for Processes Driven by Mixed Fractional Brownian Motion

被引:0
作者
Rao, B. L. S. Prakasa [1 ]
机构
[1] CR RAO Adv Inst Math Stat & Comp Sci, Hyderabad, India
来源
STATISTICS AND APPLICATIONS | 2021年 / 19卷 / 01期
关键词
Nonparametric estimation; Linear multiplier; Mixed Fractional Brownian motion; STOCHASTIC DIFFERENTIAL-EQUATIONS;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We study the problem of nonparametric estimation of linear multiplier function theta(t) for processes satisfying stochastic differential equations of the type dX(t) = theta(t)X(t)dt + epsilon d (W) over tilde H-t, X-0 = x(0), 0 <= t <= T where {(W) over tilde (H)(t) , t >= 0} is a mixed fractional Brownian motion with known Hurst index H and study the asymptotic behaviour of the estimator as epsilon -> 0.
引用
收藏
页码:67 / 76
页数:10
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