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Updated: Sep 10, 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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时间序列数据的高维模拟推理

Chien-Ming Chi1, Yingying Fan2, Ching-Kang Ing3

  • 1Institute of Statistical Science, Academia Sinica, Taiwan.

Journal of the American Statistical Association
|August 26, 2025
PubMed
概括

我们介绍了时间序列对应推断 (TSKI),这是一个用于在时间序列数据中进行强有力的特征选择的新方法. TSKI解决了序列依赖和未知的共变量分布,控制了错误发现率 (FDR).

关键词:
电子值飞行器控制高维度可解释的预测模仿的X型功率分析稀缺性时间序列

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