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Hongtu Zhu

Showing results (21-30 of 338) with videos related to

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Journal of the American Statistical Association|December 14, 2020
D-CCA: A Decomposition-based Canonical Correlation Analysis for High-Dimensional DatasetsHai Shu, Xiao Wang, Hongtu Zhu
Journal of the American Statistical Association|September 2, 2024
Estimating trans-ancestry genetic correlation with unbalanced data resourcesBingxin Zhao, Xiaochen Yang, Hongtu Zhu
Biometrics|May 6, 2016
Hidden Markov latent variable models with multivariate longitudinal dataXinyuan Song, Yemao Xia, Hongtu Zhu
Annals of Statistics|May 7, 2013
MULTIVARIATE VARYING COEFFICIENT MODEL FOR FUNCTIONAL RESPONSESHongtu Zhu, Runze Li, Linglong Kong
Technometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences|July 1, 2014
Discussion of the paper "Clustering Random Curves Under Spatial Interdependence with Application to Service Accessibility" by Jiang and SerbanJiaping Wang, Haipeng Shen, Hongtu Zhu
Journal of Machine Learning Research : JMLR|August 19, 2022
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional DataHai Shu, Zhe Qu, Hongtu Zhu
Annals of Statistics|September 16, 2024
ON BLOCKWISE AND REFERENCE PANEL-BASED ESTIMATORS FOR GENETIC DATA PREDICTION IN HIGH DIMENSIONSBingxin Zhao, Shurong Zheng, Hongtu Zhu
Biometrics|March 22, 2017
Groupwise envelope models for imaging genetic analysisYeonhee Park, Zhihua Su, Hongtu Zhu
Neuroimage|November 15, 2008
A unified optimization approach for diffusion tensor imaging techniqueWei Gao, Hongtu Zhu, Weili Lin
Statistics in Biosciences|June 19, 2015
Semiparametric Bayes local additive models for longitudinal dataZhaowei Hua, Hongtu Zhu, David B Dunson
Pageof 34

Showing results (21-30 of 338) with videos related to

Sort By:
Pageof 34
Journal of the American Statistical Association|December 14, 2020
D-CCA: A Decomposition-based Canonical Correlation Analysis for High-Dimensional DatasetsHai Shu, Xiao Wang, Hongtu Zhu
Journal of the American Statistical Association|September 2, 2024
Estimating trans-ancestry genetic correlation with unbalanced data resourcesBingxin Zhao, Xiaochen Yang, Hongtu Zhu
Biometrics|May 6, 2016
Hidden Markov latent variable models with multivariate longitudinal dataXinyuan Song, Yemao Xia, Hongtu Zhu
Annals of Statistics|May 7, 2013
MULTIVARIATE VARYING COEFFICIENT MODEL FOR FUNCTIONAL RESPONSESHongtu Zhu, Runze Li, Linglong Kong
Technometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences|July 1, 2014
Discussion of the paper "Clustering Random Curves Under Spatial Interdependence with Application to Service Accessibility" by Jiang and SerbanJiaping Wang, Haipeng Shen, Hongtu Zhu
Journal of Machine Learning Research : JMLR|August 19, 2022
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional DataHai Shu, Zhe Qu, Hongtu Zhu
Annals of Statistics|September 16, 2024
ON BLOCKWISE AND REFERENCE PANEL-BASED ESTIMATORS FOR GENETIC DATA PREDICTION IN HIGH DIMENSIONSBingxin Zhao, Shurong Zheng, Hongtu Zhu
Biometrics|March 22, 2017
Groupwise envelope models for imaging genetic analysisYeonhee Park, Zhihua Su, Hongtu Zhu
Neuroimage|November 15, 2008
A unified optimization approach for diffusion tensor imaging techniqueWei Gao, Hongtu Zhu, Weili Lin
Statistics in Biosciences|June 19, 2015
Semiparametric Bayes local additive models for longitudinal dataZhaowei Hua, Hongtu Zhu, David B Dunson
Pageof 34