Bayesian Latent Factor Regression for Functional and Longitudinal Data

Biometrics

Volumn 68, Issue 4, 2012, Pages 1064-1073

  Montagna, Silvia ^a   Tokdar, Surya T ^b   Neelon, Brian ^b   Dunson, David B ^a  

^a Duke University   (United States)

^b DUKE UNIVERSITY   (United States)

Author keywords

Factor analysis; Functional principal components analysis; Latent trajectory models; Random effects; Sparse data

Indexed keywords

PRINCIPAL COMPONENT ANALYSIS; RANDOM PROCESSES; REGRESSION ANALYSIS;

BAYESIAN; FACTORS ANALYSIS; FUNCTIONAL DATAS; FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS; LATENT FACTOR; LATENT TRAJECTORY MODEL; LONGITUDINAL DATA; RANDOM EFFECTS; SPARSE DATA; TRAJECTORY MODELS;

BLOOD PRESSURE;

BAYESIAN ANALYSIS; BLOOD; DATA SET; LINEARITY; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; PREGNANCY; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

EID: 84871651377     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2012.01788.x     Document Type: Article

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