Bayesian hierarchical functional data analysis via contaminated informative priors

Biometrics

Volumn 65, Issue 3, 2009, Pages 772-780

  Scarpa, Bruno ^a   Dunson, David B ^b  

^a UNIVERSITY OF PADOVA   (Italy)

^b DUKE UNIVERSITY   (United States)

Author keywords

Clustering; Functional Dirichlet process; Latent trajectory curves; Mixture model; Nonparametric Bayes

Indexed keywords

DATA HANDLING; DISTRIBUTION FUNCTIONS; HIERARCHICAL SYSTEMS; INFORMATION ANALYSIS;

BAYESIAN; CLUSTERINGS; DIRICHLET PROCESS; FUNCTIONAL DATA ANALYSIS; FUNCTIONAL DIRICHLET PROCESS; LATENT TRAJECTORY CURVE; MENSTRUAL CYCLE; MIXTURE MODELING; NON-PARAMETRIC BAYES; PRIOR INFORMATION;

CONTAMINATION;

BAYESIAN ANALYSIS; CLUSTER ANALYSIS; FECUNDITY; MODELING; REPRODUCTIVE CYCLE; SPATIAL DISTRIBUTION;

ARTICLE; BAYES THEOREM; BODY TEMPERATURE; CLUSTER ANALYSIS; DATA ANALYSIS; MATHEMATICAL ANALYSIS; NONPARAMETRIC TEST; PARAMETRIC TEST; PROBABILITY; SIMULATION;

ARTIFACTS; BAYES THEOREM; BIOMETRY; CLINICAL TRIALS AS TOPIC; CLUSTER ANALYSIS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; EFFECT MODIFIERS (EPIDEMIOLOGY); MODELS, STATISTICAL; PROPORTIONAL HAZARDS MODELS;

EID: 70349245263     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01163.x     Document Type: Article

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