Testing for the buffered autoregressive processes

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11 Citations (Scopus)

Abstract

This paper investigates a quasi-likelihood ratio (LR) test for the thresholds in buffered autoregressive processes. Under the null hypothesis of no threshold, the LR test statistic converges to a function of a centered Gaussian process. Under local alternatives, this LR test has nontrivial asymptotic power. A bootstrap method is proposed to obtain the critical value for the LR test. Simulation studies and an example are given to assess the performance of the test. The proof here is not standard and can be used in other non-linear time series models. Copyright © 2014 Institute of Statistical Science.
Original languageEnglish
Pages (from-to)971-984
JournalStatistica Sinica
Volume24
DOIs
Publication statusPublished - Apr 2014

Citation

Zhu, K., Yu, P. L. H., & Li, W. K. (2014). Testing for the buffered autoregressive processes. Statistica Sinica, 24, 971-984. doi: 10.5705/ss.2012.311

Keywords

  • AR(p) model
  • Bootstrap method
  • Buffered AR(p) model
  • Likelihood ratio test
  • Marked empirical process
  • Threshold AR(p) model

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