Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Hongtu Zhu

Showing results (11-20 of 338) with videos related to

Pageof 34
Sort By:
Journal of the American Statistical Association|May 3, 2014
Tensor Regression with Applications in Neuroimaging Data AnalysisHua Zhou, Lexin Li, Hongtu Zhu
Statistica Sinica|July 1, 2014
Empirical Likelihood for Estimating Equations with Nonignorably Missing DataNiansheng Tang, Puying Zhao, Hongtu Zhu
Statistics in Medicine|November 10, 2020
Bayesian latent factor on image regression with nonignorable missing dataXiaoqing Wang, Xinyuan Song, Hongtu Zhu
Biometrics|May 4, 2012
Multiscale adaptive marginal analysis of longitudinal neuroimaging data with time-varying covariatesMartha Skup, Hongtu Zhu, Heping Zhang
Technometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences|August 11, 2015
Cook's Distance Measures for Varying Coefficient Models with Functional ResponsesQibing Gao, Mihye Ahn, Hongtu Zhu
Annual Review of Biomedical Data Science|May 1, 2023
Statistical Learning Methods for Neuroimaging Data Analysis with ApplicationsHongtu Zhu, Tengfei Li, Bingxin Zhao
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|June 20, 2015
Spatially Weighted Principal Component Analysis for Imaging ClassificationRuixin Guo, Mihye Ahn, Hongtu Zhu, et al.
Journal of the American Statistical Association|December 2, 2014
Spatially Varying Coefficient Model for Neuroimaging Data with Jump DiscontinuitiesHongtu Zhu, Jianqing Fan, Linglong Kong
Journal of the American Statistical Association|November 26, 2015
Clustering High-Dimensional Landmark-based Two-dimensional Shape Data<sup>‡</sup>Chao Huang, Martin Styner, Hongtu Zhu
Journal of the American Statistical Association|December 5, 2017
A Functional Varying-Coefficient Single-Index Model for Functional Response DataJialiang Li, Chao Huang, Hongtu Zhu
Pageof 34

Showing results (11-20 of 338) with videos related to

Sort By:
Pageof 34
Journal of the American Statistical Association|May 3, 2014
Tensor Regression with Applications in Neuroimaging Data AnalysisHua Zhou, Lexin Li, Hongtu Zhu
Statistica Sinica|July 1, 2014
Empirical Likelihood for Estimating Equations with Nonignorably Missing DataNiansheng Tang, Puying Zhao, Hongtu Zhu
Statistics in Medicine|November 10, 2020
Bayesian latent factor on image regression with nonignorable missing dataXiaoqing Wang, Xinyuan Song, Hongtu Zhu
Biometrics|May 4, 2012
Multiscale adaptive marginal analysis of longitudinal neuroimaging data with time-varying covariatesMartha Skup, Hongtu Zhu, Heping Zhang
Technometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences|August 11, 2015
Cook's Distance Measures for Varying Coefficient Models with Functional ResponsesQibing Gao, Mihye Ahn, Hongtu Zhu
Annual Review of Biomedical Data Science|May 1, 2023
Statistical Learning Methods for Neuroimaging Data Analysis with ApplicationsHongtu Zhu, Tengfei Li, Bingxin Zhao
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|June 20, 2015
Spatially Weighted Principal Component Analysis for Imaging ClassificationRuixin Guo, Mihye Ahn, Hongtu Zhu, et al.
Journal of the American Statistical Association|December 2, 2014
Spatially Varying Coefficient Model for Neuroimaging Data with Jump DiscontinuitiesHongtu Zhu, Jianqing Fan, Linglong Kong
Journal of the American Statistical Association|November 26, 2015
Clustering High-Dimensional Landmark-based Two-dimensional Shape Data<sup>‡</sup>Chao Huang, Martin Styner, Hongtu Zhu
Journal of the American Statistical Association|December 5, 2017
A Functional Varying-Coefficient Single-Index Model for Functional Response DataJialiang Li, Chao Huang, Hongtu Zhu
Pageof 34