The Asymptotic Distribution for a Single Joinpoint Changepoint Model

Fuente: arXiv
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Auteurs principaux: Shi, Xueheng, Lund, Robert
Format: Preprint
Publié: 2025
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author Shi, Xueheng
Lund, Robert
author_facet Shi, Xueheng
Lund, Robert
contents A single joinpoint changepoint model partitions a time series into two segments, joined at the changepoint time by constraining the estimated piecewise linear regression responses to be continuous. This manuscript derives the exact asymptotic distribution of the changepoint existence test statistic gauging whether or not a second segment is necessary. The identified asymptotic distribution, a supremum of a Gaussian process over the unit interval, is rather unwieldy. The work presented here provides the result and its derivation; quantiles of the asymptotic distribution are presented for the user. This addresses a subtle gap in the changepoint literature.
format Preprint
id arxiv_https___arxiv_org_abs_2511_17942
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The Asymptotic Distribution for a Single Joinpoint Changepoint Model
Shi, Xueheng
Lund, Robert
Methodology
A single joinpoint changepoint model partitions a time series into two segments, joined at the changepoint time by constraining the estimated piecewise linear regression responses to be continuous. This manuscript derives the exact asymptotic distribution of the changepoint existence test statistic gauging whether or not a second segment is necessary. The identified asymptotic distribution, a supremum of a Gaussian process over the unit interval, is rather unwieldy. The work presented here provides the result and its derivation; quantiles of the asymptotic distribution are presented for the user. This addresses a subtle gap in the changepoint literature.
title The Asymptotic Distribution for a Single Joinpoint Changepoint Model
topic Methodology
url https://arxiv.org/abs/2511.17942