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Changgee Chang

Showing results (11-20 of 30) with videos related to

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Biostatistics (Oxford, England)|January 1, 2019
Bayesian generalized biclustering analysis via adaptive structured shrinkageZiyi Li, Changgee Chang, Suprateek Kundu, et al.
Statistical Analysis and Data Mining|May 22, 2023
Integrative Learning of Structured High-Dimensional Data from Multiple DatasetsChanggee Chang, Zongyu Dai, Jihwan Oh, et al.
Nature Communications|October 30, 2020
Multiple imputation for analysis of incomplete data in distributed health data networksChanggee Chang, Yi Deng, Xiaoqian Jiang, et al.
Biometrics|March 14, 2024
Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional dataWenrui Li, Changgee Chang, Suprateek Kundu, et al.
Journal of the American Statistical Association|November 20, 2023
Genetic underpinnings of brain structural connectome for young adultsYize Zhao, Changgee Chang, Jingwen Zhang, et al.
10Th IEEE International Conference on Big Knowledge : Proceedings : 10-11 November 2019, Beijing, China. IEEE International Conference on Big Knowledge (10Th : 2019 : Beijing, China)|July 22, 2021
Knowledge-Guided Biclustering via Sparse Variational EM AlgorithmChanggee Chang, Jihwan Oh, Eun Jeong Min, et al.
Biometrics|January 28, 2024
Incorporating graph information in Bayesian factor analysis with robust and adaptive shrinkage priorsQiyiwen Zhang, Changgee Chang, Li Shen, et al.
Scientific Reports|February 13, 2016
Multiple Imputation for General Missing Data Patterns in the Presence of High-dimensional DataYi Deng, Changgee Chang, Moges Seyoum Ido, et al.
Scientific Reports|March 5, 2021
Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular dataYize Zhao, Changgee Chang, Margaret Hannum, et al.
Statistics in Medicine|June 8, 2021
A Bayesian multiple imputation approach to bivariate functional data with missing componentsJeong Hoon Jang, Amita K Manatunga, Changgee Chang, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
Biostatistics (Oxford, England)|January 1, 2019
Bayesian generalized biclustering analysis via adaptive structured shrinkageZiyi Li, Changgee Chang, Suprateek Kundu, et al.
Statistical Analysis and Data Mining|May 22, 2023
Integrative Learning of Structured High-Dimensional Data from Multiple DatasetsChanggee Chang, Zongyu Dai, Jihwan Oh, et al.
Nature Communications|October 30, 2020
Multiple imputation for analysis of incomplete data in distributed health data networksChanggee Chang, Yi Deng, Xiaoqian Jiang, et al.
Biometrics|March 14, 2024
Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional dataWenrui Li, Changgee Chang, Suprateek Kundu, et al.
Journal of the American Statistical Association|November 20, 2023
Genetic underpinnings of brain structural connectome for young adultsYize Zhao, Changgee Chang, Jingwen Zhang, et al.
10Th IEEE International Conference on Big Knowledge : Proceedings : 10-11 November 2019, Beijing, China. IEEE International Conference on Big Knowledge (10Th : 2019 : Beijing, China)|July 22, 2021
Knowledge-Guided Biclustering via Sparse Variational EM AlgorithmChanggee Chang, Jihwan Oh, Eun Jeong Min, et al.
Biometrics|January 28, 2024
Incorporating graph information in Bayesian factor analysis with robust and adaptive shrinkage priorsQiyiwen Zhang, Changgee Chang, Li Shen, et al.
Scientific Reports|February 13, 2016
Multiple Imputation for General Missing Data Patterns in the Presence of High-dimensional DataYi Deng, Changgee Chang, Moges Seyoum Ido, et al.
Scientific Reports|March 5, 2021
Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular dataYize Zhao, Changgee Chang, Margaret Hannum, et al.
Statistics in Medicine|June 8, 2021
A Bayesian multiple imputation approach to bivariate functional data with missing componentsJeong Hoon Jang, Amita K Manatunga, Changgee Chang, et al.
Pageof 3