Estimation of random coefficient autoregressive process: An empirical Bayes approach

Wai Keung LI, Y. V. HUI

Research output: Contribution to journalArticlespeer-review

8 Citations (Scopus)

Abstract

The problem of estimating panel autoregressive time series is considered. The autoregressive parameters vary over independent realizations from an unknown distribution. An empirical Bayes procedure is suggested to estimate the parameters using information from all realizations. Copyright © 1983 Wiley Blackwell. All rights reserved.

Original languageEnglish
Pages (from-to)89-94
JournalJournal of Time Series Analysis
Volume4
Issue number2
DOIs
Publication statusPublished - Mar 1983

Citation

Li, W. K., & Hui, Y. V. (1983). Estimation of random coefficient autoregressive process: An empirical Bayes approach. Journal of Time Series Analysis, 4(2), 89-94. doi: 10.1111/j.1467-9892.1983.tb00361.x

Keywords

  • Autoregressive process
  • Bayes estimates
  • Empirical Bayes estimates
  • Independent realization

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