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Updated: Jun 9, 2025

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对于连续的非高斯式,截断式和离散式功能数据的功能主要组件分析

Debangan Dey1, Rahul Ghosal2, Kathleen Merikangas1

  • 1National Institute of Mental Health, Bethesda, Maryland, USA.

Statistics in medicine
|October 23, 2024
PubMed
概括

本研究引入了一种新的功能主要组件分析方法,用于分析各种移动健康数据,包括身体活动,疼痛,情绪和事件,为复杂的健康监测提供统一的方法. 该方法有效地处理各种数据类型和采样密度,显示出对理解情绪障碍亚型中的一天内情绪模式的希望.

关键词:
欧洲药品监督管理局 (EMA) 是一个.高斯的合器是高斯的合器.协差估计估计 协差估计离散的功能数据数据离散的功能数据功能性数据分析数据分析.

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