Change-point detection in functional time series: Applications to age-specific mortality and fertility

Fuente: arXiv
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Autor principal: Shang, Han Lin
Formato: Preprint
Publicado: 2024
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author Shang, Han Lin
author_facet Shang, Han Lin
contents We consider determining change points in a time series of age-specific mortality and fertility curves observed over time. We propose two detection methods for identifying these change points. The first method uses a functional cumulative sum statistic to pinpoint the change point. The second method computes a univariate time series of integrated squared forecast errors after fitting a functional time-series model before applying a change-point detection method to the errors to determine the change point. Using Australian age-specific fertility and mortality data, we apply these methods to locate the change points and identify the optimal training period to achieve improved forecast accuracy.
format Preprint
id arxiv_https___arxiv_org_abs_2411_00534
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Change-point detection in functional time series: Applications to age-specific mortality and fertility
Shang, Han Lin
Applications
Methodology
62R10
We consider determining change points in a time series of age-specific mortality and fertility curves observed over time. We propose two detection methods for identifying these change points. The first method uses a functional cumulative sum statistic to pinpoint the change point. The second method computes a univariate time series of integrated squared forecast errors after fitting a functional time-series model before applying a change-point detection method to the errors to determine the change point. Using Australian age-specific fertility and mortality data, we apply these methods to locate the change points and identify the optimal training period to achieve improved forecast accuracy.
title Change-point detection in functional time series: Applications to age-specific mortality and fertility
topic Applications
Methodology
62R10
url https://arxiv.org/abs/2411.00534