Adaptive banding covariance estimation for high‐dimensional multivariate longitudinal data

2021 ◽  
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Fang Qian ◽  
Weiping Zhang ◽  
Yu Chen
Keyword(s):  
Longitudinal Data ◽  
Covariance Estimation ◽  
High Dimensional ◽  
Multivariate Longitudinal Data

Analysis of multivariate longitudinal data using dynamic lasso-regularized copula models with application to large pediatric cardiovascular studies

2021 ◽  
pp. 1-28
Author(s):  
Wei Zhang ◽  
Colin O. Wu ◽  
Xiaoyang Ma ◽  
Xin Tian ◽  
Qizhai Li
Keyword(s):  
Longitudinal Data ◽  
Copula Models ◽  
Multivariate Longitudinal Data

The Sparse Matrix Transform for Covariance Estimation and Analysis of High Dimensional Signals

2011 ◽  
Vol 20 (3) ◽  
pp. 625-640 ◽  
Author(s):  
Guangzhi Cao ◽  
Leonardo R. Bachega ◽  
Charles A. Bouman
Keyword(s):  
Sparse Matrix ◽  
Covariance Estimation ◽  
High Dimensional ◽  
Sparse Matrix Transform

scholarly journals Confidence intervals for high-dimensional inverse covariance estimation

2015 ◽  
Vol 9 (1) ◽  
pp. 1205-1229 ◽  
Author(s):  
Jana Janková ◽  
Sara van de Geer
Keyword(s):  
Confidence Intervals ◽  
Covariance Estimation ◽  
High Dimensional

Bayesian growth curve model useful for high-dimensional longitudinal data

2018 ◽  
Vol 46 (5) ◽  
pp. 814-834 ◽  
Author(s):  
Sayantee Jana ◽  
Narayanaswamy Balakrishnan ◽  
Jemila S. Hamid
Keyword(s):  
Longitudinal Data ◽  
Growth Curve ◽  
High Dimensional ◽  
Growth Curve Model ◽  
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Average Estimation of Semiparametric Models for High-Dimensional Longitudinal Data

2020 ◽  
Vol 33 (6) ◽  
pp. 2013-2047
Author(s):  
Zhihao Zhao ◽  
Guohua Zou
Keyword(s):  
Longitudinal Data ◽  
Semiparametric Models ◽  
High Dimensional
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