Modeling Functional Data with Spatially Heterogeneous Shape Characteristics

Biometrics

Volumn 68, Issue 2, 2012, Pages 331-343

  Staicu, Ana Maria ^a   Crainiceanu, Ciprian M ^b   Reich, Daniel S ^c   Ruppert, David ^d  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE   (United States)

^d Cornell University   (United States)

Author keywords

Gaussian and t copulas; Quantile modeling; Skewed functional data; Tractography data

Indexed keywords

GAUSSIAN DISTRIBUTION; MAGNETIC RESONANCE IMAGING; STATISTICS;

DEPENDENCE STRUCTURES; FUNCTIONAL DATAS; GAUSSIAN COPULA; MARGINAL DISTRIBUTION; QUANTILE MODELS; SHAPE CHARACTERISTICS; SKEWED FUNCTIONAL DATA; T COPULAS; TRACTOGRAPHY; TRACTOGRAPHY DATA;

LOCATION;

COMPUTER SIMULATION; DATA SET; DISEASE PREVALENCE; GAUSSIAN METHOD; HETEROGENEITY; NUMERICAL MODEL; PUBLIC HEALTH; SPATIAL ANALYSIS; SPATIOTEMPORAL ANALYSIS;

EID: 84862843745     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2011.01669.x     Document Type: Article

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