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Improving Early Warning Signal Detection for Psychological State Changes in Intensive Longitudinal Data: A Threshold-Based Change Point Autoregressive Approach

2026-06-17

Abstract excerpt

<title>Abstract</title> <p>Background: Intensive longitudinal data (ILD) are increasingly used to monitor within-person psychological dynamics and characterize temporal changes in mental states. One promising approach involves early warning signals (EWSs), such as increases in lag-1 autoregression, which may precede abrupt psychological transitions. However, practical application of EWS approaches remains limite...

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Literature Corpus work
daa82dd8-03e2-5050-b2ac-609c1917fa97
DOI
10.21203/rs.3.rs-9910725/v1
Open publication

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Improving Early Warning Signal Detection for Psychological State Changes in Intensive Longitudinal Data: A Threshold-Based Change Point Autoregressive ApproachDOI 10.21203/rs.3.rs-9910725/v1
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