Kronecker product linear exponent AR(1) correlation structures for multivariate repeated measures.
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A two-part mixed-effects modeling framework for analyzing whole-brain network data.Selecting a separable parametric spatiotemporal covariance structure for longitudinal imaging dataSeparability tests for high-dimensional, low sample size multivariate repeated measures data.Analyzing complex functional brain networks: Fusing statistics and network science to understand the brain(*†)APPLYING A SPATIOTEMPORAL MODEL FOR LONGITUDINAL CARDIAC IMAGING DATAA Genomic Bayesian Multi-trait and Multi-environment Model.
P2860
Kronecker product linear exponent AR(1) correlation structures for multivariate repeated measures.
description
2014 nî lūn-bûn
@nan
2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Kronecker product linear expon ...... ultivariate repeated measures.
@ast
Kronecker product linear expon ...... ultivariate repeated measures.
@en
type
label
Kronecker product linear expon ...... ultivariate repeated measures.
@ast
Kronecker product linear expon ...... ultivariate repeated measures.
@en
prefLabel
Kronecker product linear expon ...... ultivariate repeated measures.
@ast
Kronecker product linear expon ...... ultivariate repeated measures.
@en
P2093
P2860
P1433
P1476
Kronecker product linear expon ...... multivariate repeated measures
@en
P2093
Keith E Muller
Martin A Styner
Sean L Simpson
P2860
P304
P356
10.1371/JOURNAL.PONE.0088864
P577
2014-02-21T00:00:00Z