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Updated: Sep 17, 2025

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

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样本分割和评估时间序列的适用性

Richard A Davis1, Leon Fernandes1

  • 1Department of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, New York 10027, USA.

Biometrika
|July 1, 2025
PubMed
概括

本研究引入了一种用于测试剩余序列独立性的时间序列模型的新型样本分割方法. 这种方法调整了固有的依赖性,改善了适合性评估.

关键词:
自动相关性 自动相关性自动回归移动平均线模型距离的共变量 距离的共变量合适性测试 合适性测试 合适性测试样本的分割 样本的分割时间序列时间序列格拉奇模型模型

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