On the estimation of time series regression coefficients with long range dependence
碩士 === 國立中山大學 === 應用數學系研究所 === 99 === In this paper, we study the parameter estimation of the multiple linear time series regression model with long memory stochastic regressors and innovations. Robinson and Hidalgo (1997) and Hidalgo and Robinson (2002) proposed a class of frequency-domain weighted...
Main Authors: | Hai-Tang Chiou, 邱海唐 |
---|---|
Other Authors: | Mei-Hui Guo |
Format: | Others |
Language: | en_US |
Published: |
2011
|
Online Access: | http://ndltd.ncl.edu.tw/handle/48519859641790684096 |
Similar Items
-
Inference for regression models with time series errors — Inverse autocovariance matrix estimation and high dimensional model selection
by: Hai-Tang Chiou, et al.
Published: (2017) -
On the Predictability of Long-Range Dependent Series
by: Ming Li, et al.
Published: (2010-01-01) -
Detection of Common Long-Range Dependence Component for Multivariate Time Series
by: Ying-Shen Chen, et al.
Published: (1999) -
Long Range Dependence Prognostics for Bearing Vibration Intensity Chaotic Time Series
by: Qing Li, et al.
Published: (2016-01-01) -
Averaged and Integrated Estimations of Varying-Coefficient Regression Models with Dependent Observations
by: Guo-Liang Fan, et al.
Published: (2019-01-01)