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Monitoring parameter change in time series models

  • Okyoung Na
  • , Youngmi Lee
  • , Sangyeol Lee*
  • *Corresponding author for this work
  • Kyonggi University
  • Seoul National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

In this paper,we develop a monitoring procedure for an early detection of parameter changes in time series models. We design the monitoring procedure in general time series models and apply it to the changes for the autocovariances of linear processes, GARCH parameters, and underlying distributions. Simulation results are provided for illustration.

Original languageEnglish
Pages (from-to)171-199
Number of pages29
JournalStatistical Methods and Applications
Volume20
Issue number2
DOIs
StatePublished - 2011.06

Keywords

  • Autocovariance of linear processes
  • Distributional changes
  • GARCH models
  • Monitoring parameter change
  • Time series models

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