Spline Estimation for A Nonparametric Variance Model Under Dependent Innovations
A nonparametric variance model under dependent innovations is considered in this paper. Polynomial spline estimator of variance function is constructed. Under the α-mixing condition, bias and variance of the estimator is given. Also, uniform rate of convergence is obtained. The polynomial spline fitting of the variance function is applied to the CNY/USD middle exchange rate series.
Nonparametric variance model Dependent innovation Spline estimation Large sample property Ezchange rate
WU Xinqian YANG Wancai
School of Sciences, Henan University of Science and Technology, P.R.China, 471003
国际会议
2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)
青岛
英文
1-5
2009-07-25(万方平台首次上网日期,不代表论文的发表时间)