Detecting changes in mean in the presence of time-varying autocovariance

McGonigle, Euan and Killick, Rebecca and Nunes, Matthew (2021) Detecting changes in mean in the presence of time-varying autocovariance. Stat, 10 (1). ISSN 2049-1573

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Abstract

There has been much attention in recent years to the problem of detecting mean changes in a piecewise constant time series. Often, methods assume that the noise can be taken to be independent, identically distributed (IID), which in practice may not be a reasonable assumption. There is comparatively little work studying the problem of mean changepoint detection in time series with non‐trivial autocovariance structure. In this article, we propose a likelihood‐based method using wavelets to detect changes in mean in time series that exhibit time‐varying autocovariance. Our proposed technique is shown to work well for time series with a variety of error structures via a simulation study, and we demonstrate its effectiveness on two data examples arising in economics.

Item Type:
Journal Article
Journal or Publication Title:
Stat
ID Code:
150495
Deposited By:
Deposited On:
06 Jan 2021 12:15
Refereed?:
Yes
Published?:
Published
Last Modified:
09 Jun 2021 05:45