Testing for change points in time series models and limiting theorems for NED sequences

Shiqing Ling*

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

35 Citations (Scopus)

Abstract

This paper first establishes a strong law of large numbers and a strong invariance principle for forward and backward sums of near-epoch dependent sequences. Using these limiting theorems, we develop a general asymptotic theory on the Wald test for change points in a general class of time series models under the no change-point hypothesis. As an application, we verify our assumptions for the long-memory fractional ARIMA model.

Original languageEnglish
Pages (from-to)1213-1237
Number of pages25
JournalAnnals of Statistics
Volume35
Issue number3
DOIs
Publication statusPublished - Jul 2007

Keywords

  • Change-point
  • Long-memory FARIMA
  • Strong invariance principle
  • Strong law of large numbers
  • Wald test

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