These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
126 related articles for article (PubMed ID: 29109594)
1. ARMA Cholesky Factor Models for the Covariance Matrix of Linear Models. Lee K; Baek C; Daniels MJ Comput Stat Data Anal; 2017 Nov; 115():267-280. PubMed ID: 29109594 [TBL] [Abstract][Full Text] [Related]
2. Estimation of covariance matrix of multivariate longitudinal data using modified Choleksky and hypersphere decompositions. Lee K; Cho H; Kwak MS; Jang EJ Biometrics; 2020 Mar; 76(1):75-86. PubMed ID: 31282996 [TBL] [Abstract][Full Text] [Related]
3. Modeling the Cholesky factors of covariance matrices of multivariate longitudinal data. Kohli P; Garcia TP; Pourahmadi M J Multivar Anal; 2016 Mar; 145():87-100. PubMed ID: 38993393 [TBL] [Abstract][Full Text] [Related]
4. A Cholesky-based sparse covariance estimation with an application to genes data. Li C; Yang M; Wang M; Kang H; Kang X J Biopharm Stat; 2021 Sep; 31(5):603-616. PubMed ID: 34057035 [TBL] [Abstract][Full Text] [Related]
5. Modelling the random effects covariance matrix in longitudinal data. Daniels MJ; Zhao YD Stat Med; 2003 May; 22(10):1631-47. PubMed ID: 12720301 [TBL] [Abstract][Full Text] [Related]
6. A Cholesky-based estimation for large-dimensional covariance matrices. Kang X; Xie C; Wang M J Appl Stat; 2020; 47(6):1017-1030. PubMed ID: 35706916 [TBL] [Abstract][Full Text] [Related]
7. Computationally efficient banding of large covariance matrices for ordered data and connections to banding the inverse Cholesky factor. Wang Y; Daniels MJ J Multivar Anal; 2014 Sep; 130():21-26. PubMed ID: 25147413 [TBL] [Abstract][Full Text] [Related]
9. Fast DOA Estimation Algorithms via Positive Incremental Modified Cholesky Decomposition for Augmented Coprime Array Sensors. Song J; Cao L; Zhao Z; Wang D; Fu C Sensors (Basel); 2023 Nov; 23(21):. PubMed ID: 37960689 [TBL] [Abstract][Full Text] [Related]
10. Modeling the random effects covariance matrix for longitudinal data with covariates measurement error. Hoque ME; Torabi M Stat Med; 2018 Dec; 37(28):4167-4184. PubMed ID: 30039601 [TBL] [Abstract][Full Text] [Related]
11. Reducing Incidence of Nonpositive Definite Covariance Matrices in Mixed Effect Models. McNeish D; Bauer DJ Multivariate Behav Res; 2022; 57(2-3):318-340. PubMed ID: 33955291 [TBL] [Abstract][Full Text] [Related]
12. Joint mean-covariance random effect model for longitudinal data. Bai Y; Qian M; Tian M Biom J; 2020 Jan; 62(1):7-23. PubMed ID: 31544252 [TBL] [Abstract][Full Text] [Related]
13. Multilevel Models for Intensive Longitudinal Data with Heterogeneous Autoregressive Errors: The Effect of Misspecification and Correction with Cholesky Transformation. Jahng S; Wood PK Front Psychol; 2017; 8():262. PubMed ID: 28286490 [TBL] [Abstract][Full Text] [Related]
14. A generalized partially linear mean-covariance regression model for longitudinal proportional data, with applications to the analysis of quality of life data from cancer clinical trials. Zheng X; Qin G; Tu D Stat Med; 2017 May; 36(12):1884-1894. PubMed ID: 28215045 [TBL] [Abstract][Full Text] [Related]
15. Graphical models for mean and covariance of multivariate longitudinal data. Kohli P; Du X; Shen H Stat Med; 2021 Oct; 40(23):4977-4995. PubMed ID: 34139788 [TBL] [Abstract][Full Text] [Related]
18. Unconstrained procedures for the estimation of positive definite covariance matrices using restricted maximum likelihood in multibreed populations. Elzo MA J Anim Sci; 1996 Feb; 74(2):317-28. PubMed ID: 8690667 [TBL] [Abstract][Full Text] [Related]
20. New Local Estimation Procedure for Nonparametric Regression Function of Longitudinal Data. Yao W; Li R J R Stat Soc Series B Stat Methodol; 2013 Jan; 75(1):123-138. PubMed ID: 23539417 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]