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<p>This paper studies the problem of identifying two change-points in an epidemic change model. These change-points correspond to changes in the relevant parameters at the beginning and end of the event. We estimate the two change-points simultaneously and explore the consistency, convergence rate and limiting distribution of these estimates under alternative hypothesis. Simulation studies and a real data analysis demonstrate the promising performance of the proposed estimator.</p>

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Simultaneous Estimation of Change-points in Epidemic Change Models

  • 期刊论文

  • 发表日期：

    2025年6月20日

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  • Baisuo Jin,
  • Yejing Han,
  • Yuehua Wu

摘要

This paper studies the problem of identifying two change-points in an epidemic change model. These change-points correspond to changes in the relevant parameters at the beginning and end of the event. We estimate the two change-points simultaneously and explore the consistency, convergence rate and limiting distribution of these estimates under alternative hypothesis. Simulation studies and a real data analysis demonstrate the promising performance of the proposed estimator.