Structured functional principal component analysis

Biometrics

Volumn 71, Issue 1, 2015, Pages 247-257

  Shou, Haochang ^a   Zipunnikov, Vadim ^b   Crainiceanu, Ciprian M ^b   Greven, Sonja ^c  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^c UNIVERSITY OF MUNICH   (Germany)

Author keywords

Functional linear mixed model; Functional principal component analysis; Latent process; Multilevel correlation structure; Variance component

Indexed keywords

BRAIN; LINGUISTICS; PRINCIPAL COMPONENT ANALYSIS;

CORRELATION STRUCTURE; FUNCTIONAL LINEAR MIXED MODEL; FUNCTIONAL MODELLING; FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS; LATENT PROCESS; LINEAR MIXED MODELS; MULTI-LEVEL CORRELATION; MULTILEVEL CORRELATION STRUCTURE; OBSERVATIONAL STUDY; VARIANCE COMPONENTS;

CLUSTERING ALGORITHMS;

ACCELEROMETER; BRAIN; COVARIANCE ANALYSIS; DATA ACQUISITION; ELECTRICAL METHOD; NUMERICAL MODEL; PRINCIPAL COMPONENT ANALYSIS; SAMPLING; SLEEP;

ALGORITHM; COMPUTER ASSISTED DIAGNOSIS; HUMAN; MATHEMATICAL COMPUTING; PHYSIOLOGIC MONITORING; PRINCIPAL COMPONENT ANALYSIS; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; MONITORING, PHYSIOLOGIC; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84961291511     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12236     Document Type: Article

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