English

Autocovariance Estimation in the Presence of Changepoints

Statistics Theory 2021-02-26 v2 Methodology Statistics Theory

Abstract

This article studies estimation of a stationary autocovariance structure in the presence of an unknown number of mean shifts. Here, a Yule-Walker moment estimator for the autoregressive parameters in a dependent time series contaminated by mean shift changepoints is proposed and studied. The estimator is based on first order differences of the series and is proven consistent and asymptotically normal when the number of changepoints mm and the series length NN satisfies m/N0m/N \rightarrow 0 as NN \rightarrow \infty

Keywords

Cite

@article{arxiv.2102.10669,
  title  = {Autocovariance Estimation in the Presence of Changepoints},
  author = {Colin Gallagher and Rebecca Killick and Robert Lund and Xueheng Shi},
  journal= {arXiv preprint arXiv:2102.10669},
  year   = {2021}
}