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时间序列中方差的结构变点的小波识别(英文)
引用本文:王景乐,刘维奇.时间序列中方差的结构变点的小波识别(英文)[J].应用概率统计,2010,26(2):207-219.
作者姓名:王景乐  刘维奇
作者单位:山西大学数学科学学院,太原,030006
摘    要:本文给出了时间序列中方差的小波系数的两种估计:连续估计和离散估计.这两种估计可以用来检测时间序列中方差的结构变点.利用这两种估计我们给出了方差变点的位置和跳跃幅度的估计,并且显示出这些估计可达到最佳收敛速度.同时,我们还给出了这些估计的收敛速度以及检验统计量的渐进分布!

关 键 词:方差变点  小波系数  核估计  局部线形估计.

Wavelet Identification of Structural Change Points in Volatility Models for Time Series
WANG JINGLE,LIU WEIQI.Wavelet Identification of Structural Change Points in Volatility Models for Time Series[J].Chinese Journal of Applied Probability and Statisties,2010,26(2):207-219.
Authors:WANG JINGLE  LIU WEIQI
Institution:School of Mathematical Sciences,Shanxi University
Abstract:We propose two estimators, an integralestimator and a discretized estimator, for the wavelet coefficientof volatility in time series models. These estimators can be used todetect the changes of volatility in time series models. The locationestimators of the jump points, we proposed, have been shown to havethe minimax convergence rate, which is the optimal rate for theestimation of change points. The jump sizes and locations of changepoints can be consistently estimated by wavelet coefficients. Theconvergency rates of these estimators are derived and the asymptoticdistributions of the statistics are established.
Keywords:Change points in volatility  wavelet coefficient  kernel estimation  local polynomial smoother
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