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Zhenhua Lin
Hongtu Zhu

Showing results (1-10 of 533) with videos related to

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Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|September 6, 2019
MFPCA: Multiscale Functional Principal Component AnalysisZhenhua Lin, Hongtu Zhu
Journal of the American Statistical Association|June 27, 2022
On Genetic Correlation Estimation With Summary Statistics From Genome-Wide Association StudiesBingxin Zhao, Hongtu Zhu
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 28, 2015
Spatially Weighted Principal Component Regression for High-Dimensional PredictionDan Shen, Hongtu Zhu
Journal of the American Statistical Association|November 21, 2017
Generalized Scalar-on-Image Regression Models via Total VariationXiao Wang, Hongtu Zhu
Biostatistics (Oxford, England)|June 20, 2019
ACE of space: estimating genetic components of high-dimensional imaging dataBenjamin B Risk, Hongtu Zhu
Biometrics|April 11, 2016
Single-index varying coefficient model for functional responsesXinchao Luo, Lixing Zhu, Hongtu Zhu
Biostatistics (Oxford, England)|September 19, 2020
Bayesian sparse heritability analysis with high-dimensional neuroimaging phenotypesYize Zhao, Tengfei Li, Hongtu Zhu
Biometrics|March 12, 2022
Cross-trait prediction accuracy of summary statistics in genome-wide association studiesBingxin Zhao, Fei Zou, Hongtu Zhu
Journal of Multivariate Analysis|June 9, 2023
Surface Functional ModelsZiqi Chen, Jianhua Hu, Hongtu Zhu
Journal of the American Statistical Association|May 3, 2014
Tensor Regression with Applications in Neuroimaging Data AnalysisHua Zhou, Lexin Li, Hongtu Zhu
Pageof 54

Showing results (1-10 of 533) with videos related to

Sort By:
Pageof 54
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|September 6, 2019
MFPCA: Multiscale Functional Principal Component AnalysisZhenhua Lin, Hongtu Zhu
Journal of the American Statistical Association|June 27, 2022
On Genetic Correlation Estimation With Summary Statistics From Genome-Wide Association StudiesBingxin Zhao, Hongtu Zhu
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 28, 2015
Spatially Weighted Principal Component Regression for High-Dimensional PredictionDan Shen, Hongtu Zhu
Journal of the American Statistical Association|November 21, 2017
Generalized Scalar-on-Image Regression Models via Total VariationXiao Wang, Hongtu Zhu
Biostatistics (Oxford, England)|June 20, 2019
ACE of space: estimating genetic components of high-dimensional imaging dataBenjamin B Risk, Hongtu Zhu
Biometrics|April 11, 2016
Single-index varying coefficient model for functional responsesXinchao Luo, Lixing Zhu, Hongtu Zhu
Biostatistics (Oxford, England)|September 19, 2020
Bayesian sparse heritability analysis with high-dimensional neuroimaging phenotypesYize Zhao, Tengfei Li, Hongtu Zhu
Biometrics|March 12, 2022
Cross-trait prediction accuracy of summary statistics in genome-wide association studiesBingxin Zhao, Fei Zou, Hongtu Zhu
Journal of Multivariate Analysis|June 9, 2023
Surface Functional ModelsZiqi Chen, Jianhua Hu, Hongtu Zhu
Journal of the American Statistical Association|May 3, 2014
Tensor Regression with Applications in Neuroimaging Data AnalysisHua Zhou, Lexin Li, Hongtu Zhu
Pageof 54