Shrinkage Estimation of Linear Regression Models with GARCH Errors
This paper introduces shrinkage estimators for the parameter vector of a linear regression model with con- ditionally heteroscedastic errors such as the class of generalized autoregressive conditional heteroscedastic (GARCH) errors when some of the regression parameters are restricted to a subspace....
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2016-11-01
|
Series: | Journal of Statistical Theory and Applications (JSTA) |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/25867323.pdf |