Selecting the number of principal components in functional data

Journal of the American Statistical Association

Volumn 108, Issue 504, 2013, Pages 1284-1294

  Li, Yehua ^a   Wang, Naisyin ^b   Carroll, Raymond J ^c  

^a Department of Statistics Center for Statistics and Applications in Forensic Evidence Iowa State University 2438 Osborn Dr Ames   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

^c TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Akaike information criterion; Bayesian information criterion; Functional data analysis; Kernel smoothing; Model selection

Indexed keywords

EID: 84901791646     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: 10.1080/01621459.2013.788980     Document Type: Article

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