Nonparametric regression with long-memory errors

Rohit Deo ()

Statistics & Probability Letters, 1997, vol. 33, issue 1, 89-94

Abstract: The fixed design regression model with long-memory errors is considered. The finite-dimensional asymptotic distributions of the properly normalised kernel estimators of the regression function are shown to be normal when the errors are a linear process.

Keywords: Long; memory; Nonparametric; regression; Kernel; estimators (search for similar items in EconPapers)
Date: 1997
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