Adaptive banding covariance estimation for high‐dimensional multivariate longitudinal data

Canadian Journal of Statistics ◽

10.1002/cjs.11598 ◽

2021 ◽

Author(s):

Fang Qian ◽

Weiping Zhang ◽

Yu Chen

Keyword(s):

Longitudinal Data ◽

Covariance Estimation ◽

High Dimensional ◽

Multivariate Longitudinal Data

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A Joint Modeling Approach for Right Censored High Dimensional Multivariate Longitudinal Data

Journal of Biometrics & Biostatistics ◽

10.4172/2155-6180.1000203 ◽

2014 ◽

Vol 05 (04) ◽

Author(s):

Miran A Jaffa

Keyword(s):

Longitudinal Data ◽

Joint Modeling ◽

High Dimensional ◽

Multivariate Longitudinal Data ◽

Modeling Approach

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Regularized estimation of precision matrix for high-dimensional multivariate longitudinal data

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2019.104580 ◽

2020 ◽

Vol 176 ◽

pp. 104580

Author(s):

Qian Fang ◽

Chen Yu ◽

Zhang Weiping

Keyword(s):

Longitudinal Data ◽

High Dimensional ◽

Precision Matrix ◽

Multivariate Longitudinal Data ◽

Regularized Estimation

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A shared frailty model for multivariate longitudinal data on adverse event of radiation therapy

Biometrical Journal ◽

10.1002/bimj.202000237 ◽

2021 ◽

Author(s):

Sung Won Kim ◽

Martin Schumacher ◽

Nicole H. Augustin

Keyword(s):

Adverse Event ◽

Radiation Therapy ◽

Longitudinal Data ◽

Frailty Model ◽

Multivariate Longitudinal Data ◽

Shared Frailty Model ◽

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

Journal of Applied Statistics ◽

10.1080/02664763.2021.1937581 ◽

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

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

IEEE Transactions on Image Processing ◽

10.1109/tip.2010.2071390 ◽

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

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Confidence intervals for high-dimensional inverse covariance estimation

Electronic Journal of Statistics ◽

10.1214/15-ejs1031 ◽

2015 ◽

Vol 9 (1) ◽

pp. 1205-1229 ◽

Author(s):

Jana Janková ◽

Sara van de Geer

Keyword(s):

Confidence Intervals ◽

Covariance Estimation ◽

High Dimensional

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Non-asymptotic rate for high-dimensional covariance estimation with non-independent missing observations

Statistics & Probability Letters ◽

10.1016/j.spl.2019.06.002 ◽

2019 ◽

Vol 153 ◽

pp. 113-123

Author(s):

Seongoh Park ◽

Johan Lim

Keyword(s):

Covariance Estimation ◽

High Dimensional ◽

Missing Observations ◽

Asymptotic Rate

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Optimal Rotation-Equivariant Covariance Estimation for Detection of High-Dimensional Signals

2019 IEEE Radar Conference (RadarConf) ◽

10.1109/radar.2019.8835762 ◽

2019 ◽

Author(s):

Benjamin D. Robinson

Keyword(s):

Covariance Estimation ◽

High Dimensional ◽

Optimal Rotation

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Bayesian growth curve model useful for high-dimensional longitudinal data

Journal of Applied Statistics ◽

10.1080/02664763.2018.1517145 ◽

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

Journal of Systems Science and Complexity ◽

10.1007/s11424-020-9343-1 ◽

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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