Functional Data Analysis with R

《R語言的功能性數據分析》介紹了許多處理功能性數據的方法，包括降維技術、平滑處理、功能性回歸、曲線的結構分解和聚類等。

Ciprian M. Crainiceanu is Professor of Biostatistics at Johns Hopkins University working on wearable and implantable technology (WIT), signal processing, and clinical neuroimaging. He has extensive experience in mixed effects modeling, semiparametric regression, and functional data analysis with application to data generated by emerging technologies.

Jeff Goldsmith is Associate Dean for Data Science and Associate Professor of Biostatistics at the Columbia University Mailman School of Public Health. His work in functional data analysis includes methodological and computational advances with applications in reaching kinematics, wearable devices, and neuroimaging.

Andrew Leroux is an Assistant Professor of Biostatistics and Informatics at the University of Colorado. His interests include the development of methodology in functional data analysis, particularly related to wearable technologies and intensive longitudinal data.

Erjia Cui is an Assistant Professor of Biostatistics at the University of Minnesota. His research interests include developing functional data analysis methods and semiparametric regression models with reproducible software, with applications in wearable devices, mobile health, and imaging.

Ciprian M. Crainiceanu是約翰霍普金斯大學的生物統計學教授，他的研究領域包括可穿戴和植入式技術（WIT）、信號處理和臨床神經影像學。他在混合效應建模、半參數回歸和功能數據分析方面擁有豐富的經驗，並應用於新興技術生成的數據。

Jeff Goldsmith是哥倫比亞大學梅爾曼公共衛生學院的數據科學副院長和生物統計學副教授。他在功能數據分析方面的工作包括方法論和計算方面的進展，並應用於運動運動學、可穿戴設備和神經影像學。

Andrew Leroux是科羅拉多大學生物統計學和信息學的助理教授。他的研究興趣包括功能數據分析方法的開發，特別是與可穿戴技術和密集長期數據相關的方法。

Erjia Cui是明尼蘇達大學生物統計學的助理教授。他的研究興趣包括開發功能數據分析方法和半參數回歸模型，並使用可重現的軟件應用於可穿戴設備、移動健康和影像學。