Preliminary test estimation for regression models with long-memory disturbance

Masanobu Taniguchi*, Hiroaki Ogata, Hiroshi Shiraishi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


For a class of time series regression models with long-memory disturbance, we are interested in estimation of a subset of the regression coefficient vector and spectral parameter of the residual process when the complementary subset is suspected to be close to 0. In this situation, we evaluate the mean square errors of the restricted and unrestricted MLE and a preliminary test estimator when the complementary parameters are contiguous to zero vector. The results are expressed in terms of the regression spectra and the residual spectra. Since we assume long-memory dependence for the disturbance, the asymptotics are much different from the case of i.i.d. disturbance. Numerical studies elucidate some interesting features of regression and long-memory structures.

Original languageEnglish
Pages (from-to)3213-3224
Number of pages12
JournalCommunications in Statistics - Theory and Methods
Issue number16-17
Publication statusPublished - 2009 Jan
Externally publishedYes


  • Fractional spectral density
  • LAN theorem
  • Long-memory process
  • Preliminary test estimator
  • Restricted MLE
  • Time regression model
  • Unrestricted MLE

ASJC Scopus subject areas

  • Statistics and Probability


Dive into the research topics of 'Preliminary test estimation for regression models with long-memory disturbance'. Together they form a unique fingerprint.

Cite this