Hongtu Zhu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Disentangled latent energy-based style translation: An image-level structural MRI harmonization framework	2024	Mengqi Wu Lin‐Tao Zhang Pew‐Thian Yap Hongtu Zhu Mingxia Liu
+ PDF Chat	MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization	2024	Kangyu Zhu Peng Xia Yun Li Hongtu Zhu Sheng Wang Huaxiu Yao
+	Semi-nonparametric Varying Coefficients Models	2024	Ting Li Yang Yu Xiao Wang J. S. Marron Hongtu Zhu
+ PDF Chat	Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation	2024	Zhaoyang Zhang Ziqi Chen Qiao Liu Jinhan Xie Hongtu Zhu
+ PDF Chat	Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph	2024	Zhaoyang Zhang Hongtu Zhu Ziqi Chen Yingjie Zhang Hao Shu
+ PDF Chat	R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation	2024	Youwen Sun Yueh Z. Lee Genevieve A. Woodard Hongtu Zhu Chunfeng Lian M. Liu
+ PDF Chat	UU-Mamba: Uncertainty-aware U-Mamba for Cardiovascular Segmentation	2024	Tzu‐Hsun Tsai Lin Li Shu Hu Connie W. Tsao Xin Li Ming-Ching Chang Hongtu Zhu Xiaoliang Wang
+	Comments on: Data integration via analysis of subspaces (DIVAS)	2024	Hai Shu Hongtu Zhu
+ PDF Chat	UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation	2024	Tzu‐Hsun Tsai Lin Li Shu Hu Ming-Ching Chang Hongtu Zhu Xin Wang
+ PDF Chat	U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation	2024	Xin Wang Xiaoyu Liu Peng Huang Pu Huang Shu Hu Hongtu Zhu
+ PDF Chat	RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models	2024	Peng Xia Kangyu Zhu Haoran Li Hongtu Zhu Yun Li Gang Li Linjun Zhang Huaxiu Yao
+ PDF Chat	CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models	2024	Peng Xia Ze Chen Juanxi Tian Yangrui Gong Ruibo Hou Yue Xu Zhenbang Wu Zhiyuan Fan Yiyang Zhou Kangyu Zhu
+ PDF Chat	Nodewise Loreg: Nodewise $L_0$-penalized Regression for High-dimensional Sparse Precision Matrix Estimation	2024	Hai Shu Ziqi Chen Yingjie Zhang Hongtu Zhu
+ PDF Chat	Combining Experimental and Historical Data for Policy Evaluation	2024	Ting Li Chengchun Shi Q Wen Sui Yang Yongli Qin Chunbo Lai Hongtu Zhu
+ PDF Chat	On blockwise and reference panel-based estimators for genetic data prediction in high dimensions	2024	Bingxin Zhao Shurong Zheng Hongtu Zhu
+ PDF Chat	Estimating Trans-Ancestry Genetic Correlation with Unbalanced Data Resources	2024	Bingxin Zhao Xiaochen Yang Hongtu Zhu
+ PDF Chat	FPLS-DC: Functional partial least squares through distance covariance for imaging genetics	2024	Wenliang Pan Yue Shan Chuang Li Shuai Huang Tengfei Li Yun Li Hongtu Zhu
+ PDF Chat	An Analysis of Switchback Designs in Reinforcement Learning	2024	Qianglin Wen Chengchun Shi Ying Yang Niansheng Tang Hongtu Zhu
+ PDF Chat	Source-free unsupervised domain adaptation: A survey	2024	Yuqi Fang Pew‐Thian Yap Weili Lin Hongtu Zhu Mingxia Liu
+	Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI	2024	Qianqian Wang Wei Wang Yuqi Fang Pew‐Thian Yap Hongtu Zhu Hongjun Li Lishan Qiao Mingxia Liu
+ PDF Chat	Multimodal Clinical Trial Outcome Prediction with Large Language Models	2024	Wenhao Zheng Dongsheng Peng Hongxia Xu Hongtu Zhu Tianfan Fu Huaxiu Yao
+ PDF Chat	Disentangled Latent Energy-Based Style Translation: An Image-Level Structural MRI Harmonization Framework	2024	Mengqi Wu Lintao Zhang Pew‐Thian Yap Hongtu Zhu Mingxia Liu
+ PDF Chat	Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing	2024	Ting Li Chengchun Shi Zhaohua Lu Yi Li Hongtu Zhu
+ PDF Chat	A partially functional linear regression framework for integrating genetic, imaging, and clinical data	2024	Ting Li Yang Yu J. S. Marron Hongtu Zhu
+ PDF Chat	Merging or ensembling: integrative analysis in multiple neuroimaging studies	2024	Yue Shan Chao Huang Yun Li Hongtu Zhu
+ PDF Chat	Policy evaluation for temporal and/or spatial dependent experiments	2024	Shikai Luo Ying Yang Chengchun Shi Fang Yao Jieping Ye Hongtu Zhu
+ PDF Chat	A functional nonlinear mixed effects modeling framework for longitudinal functional responses	2024	Linglong Kong Xinchao Luo Jinhan Xie Lixing Zhu Hongtu Zhu
+ PDF Chat	A multiagent reinforcement learning framework for off-policy evaluation in two-sided markets	2023	Chengchun Shi Runzhe Wan Ge Song Shikai Luo Hongtu Zhu Rui Song
+	DNet: Distributional Network for Distributional Individualized Treatment Effects	2023	Guojun Wu Ge Song X.F. Lv Shikai Luo Chengchun Shi Hongtu Zhu
+	Controlling Neural Style Transfer with Deep Reinforcement Learning	2023	Chengming Feng Jing Hu Xin Wang Shu Hu Bin Zhu Xi Wu Hongtu Zhu Siwei Lyu
+	On the asymptotics of coefficients of Rankin–Selberg L-functions	2023	Huixue Lao Hongtu Zhu
+ PDF Chat	Nearest-Neighbor Sampling Based Conditional Independence Testing	2023	Shuai Li Ziqi Chen Hongtu Zhu Christina Dan Wang Wang Wen
+ PDF Chat	Statistical Learning Methods for Neuroimaging Data Analysis with Applications	2023	Hongtu Zhu Tengfei Li Bingxin Zhao
+	Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	2023	Zhengwu Zhang Yuexuan Wu Di Xiong Joseph G. Ibrahim Anuj Srivastava Hongtu Zhu
+	Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI	2023	Qianqian Wang Wei Wang Yuqi Fang Pew‐Thian Yap Hongtu Zhu Hongjun Li Lishan Qiao Mingxia Liu
+	Evaluating Large Language Models for Radiology Natural Language Processing	2023	Zhengliang Liu Tianyang Zhong Yiwei Li Yutong Zhang Yi Pan Zihao Zhao Peixin Dong Chao Cao Yu-Xiao Liu Peng Shu
+	Controlling Neural Style Transfer with Deep Reinforcement Learning	2023	Chengming Feng Jing Hu Xin Wang Shu Hu Bin Zhu Xi Wu Hongtu Zhu Siwei Lyu
+	Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making	2023	Ting Li Chengchun Shi Jianing Wang Fan Zhou Hongtu Zhu
+	Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions	2023	Xinyu Gong Jason Holmes Yiwei Li Zhengliang Liu Qi Gan Zihao Wu Jianli Zhang Yusong Zou Yuxi Teng Tian Jiang
+	Asynchronous functional linear regression models for longitudinal data in reproducing kernel Hilbert space	2022	Ting Li Huichen Zhu Tengfei Li Hongtu Zhu
+ PDF Chat	Genetic influences on the shape of brain ventricular and subcortical structures	2022	Bingxin Zhao Tengfei Li Xiaochen Yang Juan Shu Xifeng Wang Tianyou Luo Yue Yang Zhenyi Wu Zirui Fan Zhiwen Jiang
+ PDF Chat	Reinforcement learning for ridesharing: An extended survey	2022	Zhiwei Qin Hongtu Zhu Jieping Ye
+	Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process	2022	Chengchun Shi Jin Zhu Ye Shen Shikai Luo Hongtu Zhu Rui Song
+	Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons	2022	Chengchun Shi Shikai Luo Yuan Le Hongtu Zhu Rui Song
+	LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	2022	Zhengwu Zhang Yuexuan Wu Di Xiong Joseph G. Ibrahim Anuj Srivastava Hongtu Zhu
+	Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease	2022	Dengdeng Yu Linbo Wang Dehan Kong Hongtu Zhu
+	Intrinsic partial linear models for manifold-valued data	2022	Di Xiong Shihui Ying Hongtu Zhu
+	Functional Response Quantile Regression Model	2022	Xingcai Zhou Dehan Kong Adam B Kashlak Linglong Kong Rohana J. Karunamuni Hongtu Zhu
+	Functional hybrid factor regression model for handling heterogeneity in imaging studies	2022	Chao Huang Hongtu Zhu
+	Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework	2022	Chengchun Shi Xiaoyu Wang Shikai Luo Hongtu Zhu Jieping Ye Rui Song
+ PDF Chat	The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up	2021	Răzvan V. Marinescu Neil P. Oxtoby Alexandra L. Young Esther E. Bron Arthur W. Toga Michael W. Weiner Frederik Barkhof Nick C. Fox Arman Eshaghi Tina Toni
+	Statistical Inference and Sure Independence Screening via Ball Statistics [R package Ball version 1.3.12]	2021	Jin Zhu Wenliang Pan Yuan Tian Weinan Xiao Chengfeng Liu Ruihuang Liu Yue Hu Hongtu Zhu Heping Zhang Xueqin Wang
+ PDF Chat	Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms	2021	Xiaocheng Tang Fan Zhang Zhiwei Qin Yansheng Wang Dingyuan Shi Bingchen Song Yongxin Tong Hongtu Zhu Jieping Ye
+	Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis	2021	Matthew Pietrosanu Haoxu Shu Bei Jiang Linglong Kong Giseon Heo Qianchuan He John H. Gilmore Hongtu Zhu
+ PDF Chat	CLT for linear spectral statistics of large dimensional sample covariance matrices with dependent data	2021	Tingting Zou Shurong Zheng Zhidong Bai Jianfeng Yao Hongtu Zhu
+ PDF Chat	Real-world ride-hailing vehicle repositioning using deep reinforcement learning	2021	Yan Jiao Xiaocheng Tang Zhiwei Qin Shuaiji Li Fan Zhang Hongtu Zhu Jieping Ye
+	Weighted functional linear Cox regression model	2021	Hojin Yang Hongtu Zhu Mihye Ahn Joseph G. Ibrahim
+	A REINFORCEMENT LEARNING FRAMEWORK FOR TIME DEPENDENT CAUSAL EFFECTS EVALUATION IN A/B TESTING	2021	Chengchun Shi Xiaoyu Wang Shikai Luo Rui Song Hongtu Zhu Jieping Ye
+	AN ONLINE SEQUENTIAL TEST FOR QUALITATIVE TREATMENT EFFECTS	2021	Chengchun Shi Shikai Luo Rui Song Hongtu Zhu
+	Reinforcement Learning for Ridesharing: A Survey	2021	Zhiwei Qin Hongtu Zhu Jieping Ye
+	On Genetic Correlation Estimation With Summary Statistics From Genome-Wide Association Studies	2021	Bingxin Zhao Hongtu Zhu
+ PDF Chat	Graph-Based Equilibrium Metrics for Dynamic Supply–Demand Systems With Applications to Ride-sourcing Platforms	2021	Fan Zhou Shikai Luo Xiaohu Qie Jieping Ye Hongtu Zhu
+	Statistical disease mapping for heterogeneous neuroimaging studies	2021	Rongjie Liu Hongtu Zhu
+	Clusterwise functional linear regression models	2021	Ting Li Xinyuan Song Yingying Zhang Hongtu Zhu Zhongyi Zhu
+	High-Dimensional Spatial Quantile Function-on-Scalar Regression	2021	Zhengwu Zhang Xiao Wang Linglong Kong Hongtu Zhu
+	Graph-Based Equilibrium Metrics for Dynamic Supply-Demand Systems with Applications to Ride-sourcing Platforms	2021	Fan Zhou Shikai Luo Xiaohu Qie Jieping Ye Hongtu Zhu
+	Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning	2021	Yan Jiao Xiaocheng Tang Zhiwei Qin Shuaiji Li Fan Zhang Hongtu Zhu Jieping Ye
+	Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms	2021	Xiaocheng Tang Fan Zhang Zhiwei Qin Yansheng Wang Dingyuan Shi Bingchen Song Yongxin Tong Hongtu Zhu Jieping Ye
+	A Deep Value-network Based Approach for Multi-Driver Order Dispatching	2021	Xiaocheng Tang Zhiwei Qin Fan Zhang Zhaodong Wang Zhe Xu Yintai Ma Hongtu Zhu Jieping Ye
+	An Online Sequential Test for Qualitative Treatment Effects	2021	Chengchun Shi Shikai Luo Hongtu Zhu Rui Song
+	An online sequential test for qualitative treatment effects	2021	Chengchun Shi Shikai Luo Hongtu Zhu Rui Song
+	Bayesian Scalar on Image Regression With Nonignorable Nonresponse	2021	Xiangnan Feng Tengfei Li Xinyuan Song Hongtu Zhu
+	Bayesian latent factor on image regression with nonignorable missing data	2020	Xiaoqing Wang Xinyuan Song Hongtu Zhu
+	Regression Analysis of Asynchronous Longitudinal Functional and Scalar Data	2020	Ting Li Tengfei Li Zhongyi Zhu Hongtu Zhu
+	Scalable network estimation with <i>L</i><sub>0</sub> penalty	2020	Junghi Kim Hongtu Zhu Xiao Wang Kim‐Anh Do
+	Bayesian sparse heritability analysis with high-dimensional neuroimaging phenotypes	2020	Yize Zhao Tengfei Li Hongtu Zhu
+	Surface functional models	2020	Ziqi Chen Jianhua Hu Hongtu Zhu
+	Nonparametric matrix regression function estimation over symmetric positive definite matrices	2020	Kwan‐Young Bak Kwangrae Kim Peter T. Kim Ja‐Yong Koo Changyi Park Hongtu Zhu
+	Beyond Scalar Treatment: A Causal Analysis of Hippocampal Atrophy on Behavioral Deficits in Alzheimer's Studies	2020	Dengdeng Yu Linbo Wang Dehan Kong Hongtu Zhu
+	Adversarial Image Generation and Training for Deep Convolutional Neural Networks.	2020	Ronghua Shi Hai Shu Hongtu Zhu Ziqi Chen
+	Adversarial Image Generation and Training for Deep Neural Networks	2020	Hai Shu Ronghua Shi Hongtu Zhu Ziqi Chen
+	Partial least squares for functional joint models with applications to the Alzheimer's disease neuroimaging initiative study	2020	Yue Wang Joseph G. Ibrahim Hongtu Zhu
+	D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets	2020	Hai Shu Zhe Qu Hongtu Zhu
+	High-Dimensional Spatial Quantile Function-on-Scalar Regression	2020	Zhengwu Zhang Xiao Wang Linglong Kong Hongtu Zhu
+	D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data	2020	Hai Shu Zhe Qu Hongtu Zhu
+ PDF Chat	Optimal passenger-seeking policies on E-hailing platforms using Markov decision process and imitation learning	2019	Zhenyu Shou Xuan Di Jieping Ye Hongtu Zhu Hua Zhang Robert C. Hampshire
+	Bayesian Scalar on Image Regression With Nonignorable Nonresponse	2019	Xiangnan Feng Tengfei Li Xinyuan Song Hongtu Zhu
+ PDF Chat	Test for high-dimensional correlation matrices	2019	Shurong Zheng Guanghui Cheng Jianhua Guo Hongtu Zhu
+ PDF Chat	A Deep Value-network Based Approach for Multi-Driver Order Dispatching	2019	Xiaocheng Tang Zhiwei Qin Fan Zhang Zhaodong Wang Zhe Xu Yintai Ma Hongtu Zhu Jieping Ye
+ PDF Chat	A Powerful Global Test Statistic for Functional Statistical Inference	2019	Jingwen Zhang Joseph G. Ibrahim Tengfei Li Hongtu Zhu
+ PDF Chat	Sensitivity Analysis of Deep Neural Networks	2019	Hai Shu Hongtu Zhu
+ PDF Chat	MFPCA: Multiscale Functional Principal Component Analysis	2019	Zhenhua Lin Hongtu Zhu
+	Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach	2019	Zhenyu Shou Xuan Di Jieping Ye Hongtu Zhu Robert C. Hampshire
+ PDF Chat	ACE of space: estimating genetic components of high-dimensional imaging data	2019	Benjamin B. Risk Hongtu Zhu
+ PDF Chat	Tensor network factorizations: Relationships between brain structural connectomes and traits	2019	Zhengwu Zhang Genevera I. Allen Hongtu Zhu David B. Dunson
+ PDF Chat	A review of statistical methods in imaging genetics	2019	Farouk S. Nathoo Linglong Kong Hongtu Zhu
+	Monotone Nonparametric Regression for Functional/Longitudinal Data	2019	Ziqi Chen Gao Qi-bing Bo Fu Hongtu Zhu
+	L2RM: Low-Rank Linear Regression Models for High-Dimensional Matrix Responses	2019	Dehan Kong Baiguo An Jingwen Zhang Hongtu Zhu
+ PDF Chat	Ball Covariance: A Generic Measure of Dependence in Banach Space	2019	Wenliang Pan Xueqin Wang Heping Zhang Hongtu Zhu Jin Zhu
+	On genetic correlation estimation with summary statistics from genome-wide association studies	2019	Bingxin Zhao Hongtu Zhu
+	Partial Least Squares for Functional Joint Models	2019	Yue Wang Joseph G. Ibrahim Hongtu Zhu
+	Cross-trait prediction accuracy of high-dimensional ridge-type estimators in genome-wide association studies	2019	Bingxin Zhao Hongtu Zhu
+ PDF Chat	D-CCA: A Decomposition-Based Canonical Correlation Analysis for High-Dimensional Datasets	2018	Hai Shu Xiao Wang Hongtu Zhu
+ PDF Chat	Bayesian adaptive group lasso with semiparametric hidden Markov models	2018	Kai Kang Xinyuan Song X. Joan Hu Hongtu Zhu
+	Hard thresholding regression	2018	Qiang Sun Bai Jiang Hongtu Zhu Joseph G. Ibrahim
+ PDF Chat	TPRM: Tensor partition regression models with applications in imaging biomarker detection	2018	Michelle F. Miranda Hongtu Zhu Joseph G. Ibrahim
+	Quantile regression for functional partially linear model in ultra-high dimensions	2018	Haiqiang Ma Ting Li Hongtu Zhu Zhongyi Zhu
+ PDF Chat	A Generic Sure Independence Screening Procedure	2018	Wenliang Pan Xueqin Wang Weinan Xiao Hongtu Zhu
+ PDF Chat	MILFM: Multiple Index Latent Factor Model Based on High-Dimensional Features	2018	Hojin Yang Hongtu Zhu Joseph G. Ibrahim
+	Generalized empirical likelihood inference for nonsmooth moment functions with non-ignorable missing values	2018	Puying Zhao Niansheng Tang Hongtu Zhu
+ PDF Chat	FMEM: Functional Mixed Effects Models for Longitudinal Functional Responses	2018	Hongtu Zhu Kehui Chen Xinchao Luo Ying Yuan Jane-Ling Wang
+	Ball: Statistical Inference and Sure Independence Screening via Ball Statistics	2018	Jin Zhu Wenliang Pan Yuan Tian Weinan Xiao Chengfeng Liu Ruihuang Liu Yue Hu Hongtu Zhu Heping Zhang Xueqin Wang
+	Bayesian Feature Selection for Ultrahigh Dimensional Imaging Genetics Data	2018	Yize Zhao Fei Zou Zhaohua Lu Rebecca Knickmeyer Hongtu Zhu
+	Tensor network factorizations: Relationships between brain structural connectomes and traits	2018	Zhengwu Zhang Genevera I. Allen Hongtu Zhu David B. Dunson
+ PDF Chat	SlicerSALT: Shape AnaLysis Toolbox	2018	Jared Vicory Laura E. Pascal P.R. Hernández James Fishbaugh Juan Carlos Prieto Mahmoud Mostapha Chao Huang Hina Shah Jun-Pyo Hong Zhiyuan Liu
+	A Generic Sure Independence Screening Procedure	2018	Wenliang Pan Xueqin Wang Weinan Xiao Hongtu Zhu
+ PDF Chat	Note on bias from averaging repeated measurements in heritability studies	2017	Benjamin B. Risk Hongtu Zhu
+ PDF Chat	Bayesian hidden Markov models for delineating the pathology of Alzheimer’s disease	2017	Kai Kang Jingheng Cai Xinyuan Song Hongtu Zhu
+ PDF Chat	Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness	2017	Niansheng Tang Sy‐Miin Chow Joseph G. Ibrahim Hongtu Zhu
+ PDF Chat	FLCRM: Functional Linear Cox Regression Model	2017	Dehan Kong Joseph G. Ibrahim Eunjee Lee Hongtu Zhu
+ PDF Chat	Efficient Robust Estimation for Linear Models with Missing Response at Random	2017	Man‐Lai Tang Niansheng Tang Puying Zhao Hongtu Zhu
+ PDF Chat	Functional Linear Regression Model for Nonignorable Missing Scalar Responses	2017	Tengfei Li Fengchang Xie Xiangnan Feng Joseph G. Ibrahim Hongtu Zhu
+ PDF Chat	Groupwise Envelope Models for Imaging Genetic Analysis	2017	Yeonhee Park Zhihua Su Hongtu Zhu
+ PDF Chat	Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies	2017	Zhaohua Lu Zakaria Khondker Joseph G. Ibrahim Yue Wang Hongtu Zhu
+	Influence analysis for skew‐normal semiparametric joint models of multivariate longitudinal and multivariate survival data	2017	An‐Min Tang Niansheng Tang Hongtu Zhu
+ PDF Chat	Conditional Local Distance Correlation for Manifold-Valued Data	2017	Wenliang Pan Xueqin Wang Canhong Wen Martin Styner Hongtu Zhu
+	A Review of Statistical Methods in Imaging Genetics	2017	Farouk S. Nathoo Linglong Kong Hongtu Zhu
+	CLT for linear spectral statistics of large dimensional sample covariance matrices with dependent data	2017	Shurong Zheng Zhidong Bai Jianfeng Yao Hongtu Zhu
+ PDF Chat	Extrinsic Local Regression on Manifold-Valued Data	2017	Lizhen Lin B.S. Thomas Hongtu Zhu David B. Dunson
+ PDF Chat	Information Processing in Medical Imaging	2017	Marc Niethammer Martin Styner Stephen Aylward Hongtu Zhu İpek Oğuz Pew‐Thian Yap Dinggang Shen
+ PDF Chat	Regression models on Riemannian symmetric spaces	2017	Emil Cornea Hongtu Zhu Peter Kim Joseph G. Ibrahim
+ PDF Chat	MWPCR: Multiscale Weighted Principal Component Regression for High-Dimensional Prediction	2016	Hongtu Zhu Dan Shen Xuewei Peng Leo Yufeng Liu
+ PDF Chat	3<scp>D</scp> tract‐specific local and global analysis of white matter integrity in <scp>A</scp>lzheimer's disease	2016	Yan Jin Chao Huang Madelaine Daianu Liang Zhan Emily L. Dennis Robert I. Reid Clifford R. Jack Hongtu Zhu Paul M. Thompson
+ PDF Chat	The statistics and mathematics of high dimension low sample size asymptotics	2016	Dan Shen Haipeng Shen Hongtu Zhu J. S. Marron
+ PDF Chat	Extrinsic Local Regression on Manifold-Valued Data	2016	Lizhen Lin B.S. Thomas Hongtu Zhu David B. Dunson
+ PDF Chat	Generalized Scalar-on-Image Regression Models via Total Variation	2016	Xiao Wang Hongtu Zhu
+ PDF Chat	Hidden Markov Latent Variable Models with Multivariate Longitudinal Data	2016	Xinyuan Song Ye‐Mao Xia Hongtu Zhu
+ PDF Chat	Single-Index Varying Coefficient Model for Functional Responses	2016	Xinchao Luo Lixing Zhu Hongtu Zhu
+ PDF Chat	Regression Models on Riemannian Symmetric Spaces	2016	Emil Cornea Hongtu Zhu Peter Kim Joseph G. Ibrahim
+	Local Region Sparse Learning for Image-on-Scalar Regression	2016	Yao Chen Xiao Wang Linglong Kong Hongtu Zhu
+	Diagnostic measures for the Cox regression model with missing covariates	2015	Hongtu Zhu Joseph G. Ibrahim Ming‐Hui Chen
+	Bayesian analysis of ambulatory blood pressure dynamics with application to irregularly spaced sparse data	2015	Zhaohua Lu Sy‐Miin Chow Andrew Sherwood Hongtu Zhu
+	TPRM: Tensor partition regression models with applications in imaging biomarker detection	2015	Michelle F. Miranda Hongtu Zhu Joseph G. Ibrahim
+ PDF Chat	Clustering High-Dimensional Landmark-Based Two-Dimensional Shape Data	2015	Chao Huang Martin Styner Hongtu Zhu
+ PDF Chat	Quantitative tract-based white matter heritability in twin neonates	2015	Seung Jae Lee Rachel J. Steiner Shikai Luo Michael C. Neale Martin Styner Hongtu Zhu John H. Gilmore
+ PDF Chat	SPReM: Sparse Projection Regression Model For High-Dimensional Linear Regression	2015	Qiang Sun Hongtu Zhu Yufeng Liu Joseph G. Ibrahim
+ PDF Chat	Spatially Weighted Principal Component Regression for High-Dimensional Prediction	2015	Dan Shen Hongtu Zhu
+ PDF Chat	Diagnostic measures for the Cox regression model with missing covariates	2015	Hongtu Zhu Joseph G. Ibrahim Ming Hui Chen
+ PDF Chat	Bayesian analysis of ambulatory blood pressure dynamics with application to irregularly spaced sparse data	2015	Zhao Hua Lu Sy Miin Chow Andrew Sherwood Hongtu Zhu
+	Cook’s Distance Measures for Varying Coefficient Models With Functional Responses	2015	Mihye Ahn Hongtu Zhu Qibing Gao
+ PDF Chat	Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation–Maximization (SAEM) Algorithm	2014	Sy‐Miin Chow Zhaohua Lu Andrew Sherwood Hongtu Zhu
+ PDF Chat	Functional-Mixed Effects Models for Candidate Genetic Mapping in Imaging Genetic Studies	2014	Ja-An Lin Hongtu Zhu Mihye Ahn Wei Sun Joseph G. Ibrahim
+ PDF Chat	Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers	2014	Hongtu Zhu Zakaria Khondker Zhaohua Lu Joseph G. Ibrahim
+ PDF Chat	Cook’s Distance Measures for Varying Coefficient Models With Functional Responses	2014	Qibing Gao Mihye Ahn Hongtu Zhu
+ PDF Chat	Tailor the longitudinal anaysis for nih longitudinal normal brain developmental study	2014	Yasheng Chen Hongyu An Dinggang Shen Hongtu Zhu Weili Lin
+ PDF Chat	Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities	2014	Hongtu Zhu Jianqing Fan Linglong Kong
+ PDF Chat	Bayesian case-deletion model complexity and information criterion	2014	Hongtu Zhu Joseph G. Ibrahim Qingxia Chen
+ PDF Chat	SGPP: spatial Gaussian predictive process models for neuroimaging data	2013	Jung Won Hyun Yimei Li John H. Gilmore Zhaohua Lu Martin Styner Hongtu Zhu
+	Double Penalized H-Likelihood for Selection of Fixed and Random Effects in Mixed Effects Models	2013	Peirong Xu Tao Wang Hongtu Zhu Lixing Zhu
+ PDF Chat	Bayesian Spatial Transformation Models with Applications in Neuroimaging Data	2013	Michelle F. Miranda Hongtu Zhu Joseph G. Ibrahim
+	Multiscale adaptive smoothing models for the hemodynamic response function in fMRI	2013	Jiaping Wang Hongtu Zhu Jianqing Fan Kelly S. Giovanello Weili Lin
+ PDF Chat	Bayesian sensitivity analysis of statistical models with missing data	2013	Hongtu Zhu Joseph G. Ibrahim Niansheng Tang
+ PDF Chat	Empirical likelihood for estimating equations with nonignorably missing data	2013	Niansheng Tang Puying Zhao Hongtu Zhu
+ PDF Chat	Tensor Regression with Applications in Neuroimaging Data Analysis	2013	Hua Zhou Lexin Li Hongtu Zhu
+ PDF Chat	More insights into early brain development through statistical analyses of eigen-structural elements of diffusion tensor imaging using multivariate adaptive regression splines	2013	Yasheng Chen Hongtu Zhu Hongyu An Diane Armao Dinggang Shen John H. Gilmore Weili Lin
+	Varying coefficient model for modeling diffusion tensors along white matter tracts	2013	Ying Yuan Hongtu Zhu Martin Styner John H. Gilmore J. S. Marron
+ PDF Chat	Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data	2013	Yimei Li John H. Gilmore Dinggang Shen Martin Styner Weili Lin Hongtu Zhu
+	Surprising Asymptotic Conical Structure in Critical Sample Eigen-Directions	2013	Dan Shen Haipeng Shen Hongtu Zhu J. S. Marron
+ PDF Chat	The Bayesian covariance lasso	2013	Haitao Chu Joseph G. Ibrahim Zakaria Khondker Weili Lin Hongtu Zhu
+	Multivariate varying coefficient model for functional responses	2013	Hongtu Zhu Runze Li Linglong Kong
+ PDF Chat	Multiscale adaptive smoothing models for the hemodynamic response function in fMRI	2013	Jiaping Wang Hongtu Zhu Jianqing Fan Kelly S. Giovanello Weili Lin
+ PDF Chat	Bayesian spatial transformation models with applications in neuroimaging data	2013	Michelle F. Miranda Hongtu Zhu Joseph G. Ibrahim
+	Multivariate varying coefficient model for functional responses	2012	Hongtu Zhu Runze Li Linglong Kong
+ PDF Chat	Projection Regression Models for Multivariate Imaging Phenotype	2012	Ja-an Lin Hongtu Zhu Rebecca Knickmeyer Martin Styner John H. Gilmore Joseph G. Ibrahim
+ PDF Chat	Semiparametric Bayesian local functional models for diffusion tensor tract statistics	2012	Zhaowei Hua David B. Dunson John H. Gilmore Martin Styner Hongtu Zhu
+ PDF Chat	Multiscale Adaptive Marginal Analysis of Longitudinal Neuroimaging Data with Time‐Varying Covariates	2012	Martha Skup Hongtu Zhu Heping Zhang
+ PDF Chat	Comment	2012	Jiaping Wang Haipeng Shen Hongtu Zhu
+	Perturbation and scaled Cook’s distance	2012	Hongtu Zhu Joseph G. Ibrahim Hyunsoon Cho
+ PDF Chat	Local polynomial regression for symmetric positive definite matrices	2012	Ying Yuan Hongtu Zhu Weili Lin J. S. Marron
+ PDF Chat	Bayesian Influence Measures for Joint Models for Longitudinal and Survival Data	2012	Hongtu Zhu Joseph G. Ibrahim Yueh‐Yun Chi Niansheng Tang
+ PDF Chat	Intrinsic Regression Models for Medial Representation of Subcortical Structures	2012	Xiaoyan Shi Hongtu Zhu Joseph G. Ibrahim Faming Liang Jeffrey A. Lieberman Martin Styner
+ PDF Chat	Bayesian Lasso for Semiparametric Structural Equation Models	2012	Ruixin Guo Hongtu Zhu Sy‐Miin Chow Joseph G. Ibrahim
+ PDF Chat	TwinMARM: Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data	2012	Yimei Li John H. Gilmore Jiaping Wang Martin Styner Weili Lin Hongtu Zhu
+	High Dimensional Principal Component Scores and Data Visualization	2012	Dan Shen Haipeng Shen Hongtu Zhu J. S. Marron
+ PDF Chat	Bayesian Lasso for Semiparametric Structural Equation Models	2012	Ruixin Guo Hongtu Zhu Sy Miin Chow Joseph G. Ibrahim
+ PDF Chat	Bayesian Influence Measures for Joint Models for Longitudinal and Survival Data	2012	Hongtu Zhu Joseph G. Ibrahim Yueh Yun Chi Niansheng Tang
+ PDF Chat	Bayesian Case Influence Measures for Statistical Models With Missing Data	2011	Hongtu Zhu Joseph G. Ibrahim Hyunsoon Cho Niansheng Tang
+	Two-stage empirical likelihood for longitudinal neuroimaging data	2011	Xiaoyan Shi Joseph G. Ibrahim Jeffrey A. Lieberman Martin Styner Yimei Li Hongtu Zhu
+ PDF Chat	Multiscale Adaptive Regression Models for Neuroimaging Data	2011	Yimei Li Hongtu Zhu Dinggang Shen Weili Lin John H. Gilmore Joseph G. Ibrahim
+ PDF Chat	FADTTS: Functional analysis of diffusion tensor tract statistics	2011	Hongtu Zhu Linglong Kong Runze Li Martin Styner Guido Gerig Weili Lin John H. Gilmore
+	Multiscale adaptive regression models for neuroimaging data	2011	Yimei Li Hongtu Zhu Dinggang Shen Weili Lin John H. Gilmore Joseph G. Ibrahim
+	Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data	2011	Yimei Li John H. Gilmore Jiaping Wang Martin Styner Weili Lin Hongtu Zhu
+ PDF Chat	Bayesian influence analysis: a geometric approach	2011	Hongtu Zhu Joseph G. Ibrahim Niansheng Tang
+ PDF Chat	Fixed and Random Effects Selection in Mixed Effects Models	2011	Joseph G. Ibrahim Hongtu Zhu Ramon I. Garcia Ruixin Guo
+ PDF Chat	Bayesian estimation of semiparametric nonlinear dynamic factor analysis models using the Dirichlet process prior: Semiparametric nonlinear DFA models with the DP prior	2011	Sy Miin Chow Niansheng Tang Ying Yuan Song Xin-yuan Hongtu Zhu
+	Rejoinder: Bayesian local influence for survival models	2010	Joseph G. Ibrahim Hongtu Zhu Niansheng Tang
+ PDF Chat	Fixed and Random Effects Selection in Mixed Effects Models	2010	Joseph G. Ibrahim Hongtu Zhu Ramon I. Garcia Ruixin Guo
+ PDF Chat	Bayesian estimation of semiparametric nonlinear dynamic factor analysis models using the Dirichlet process prior	2010	Sy‐Miin Chow Niansheng Tang Ying Yuan Xinyuan Song Hongtu Zhu
+	Bayesian local influence for survival models	2010	Joseph G. Ibrahim Hongtu Zhu Niansheng Tang
+ PDF Chat	FRATS: Functional Regression Analysis of DTI Tract Statistics	2010	Hongtu Zhu Martin Styner Niansheng Tang Zhexing Liu Weili Lin John H. Gilmore
+	VARIABLE SELECTION FOR REGRESSION MODELS WITH MISSING DATA.	2010	Ramon I. Garcia Joseph G. Ibrahim Hongtu Zhu
+ PDF Chat	Intrinsic Regression Models for Positive-Definite Matrices With Applications to Diffusion Tensor Imaging	2009	Hongtu Zhu Yasheng Chen Joseph G. Ibrahim Yimei Li Colin D. Hall Weili Lin
+ PDF Chat	Diagnostic Measures for Generalized Linear Models with Missing Covariates	2009	Hongtu Zhu Joseph G. Ibrahim Xiaoyan Shi
+ PDF Chat	Regression Models for Identifying Noise Sources in Magnetic Resonance Images	2009	Hongtu Zhu Yimei Li Joseph G. Ibrahim Xiaoyan Shi Hongyu An Yashen Chen Wei Gao Weili Lin Daniel B. Rowe Bradley S. Peterson
+ PDF Chat	Variable Selection in the Cox Regression Model with Covariates Missing at Random	2009	Ramon I. Garcia Joseph G. Ibrahim Hongtu Zhu
+	LSTGEE: longitudinal analysis of neuroimaging data	2009	Yimei Li Hongtu Zhu Yasheng Chen Hongyu An John H. Gilmore Weili Lin Dinggang Shen
+	RADTI: regression analyses of diffusion tensor images	2009	Yimei Li Hongtu Zhu Yasheng Chen Joseph G. Ibrahim Hongyu An Weili Lin Colin D. Hall Dinggang Shen
+ PDF Chat	Local Influence for Generalized Linear Models with Missing Covariates	2009	Xiaoyan Shi Hongtu Zhu Joseph G. Ibrahim
+	Intrinsic Regression Models for Manifold-Valued Data	2009	Xiaoyan Shi Martin Styner Jeffrey A. Lieberman Joseph G. Ibrahim Weili Lin Hongtu Zhu
+	MARM: Multiscale Adaptive Regression Models for Neuroimaging Data	2009	Hongtu Zhu Yimei Li Joseph G. Ibrahim Weili Lin Dinggang Shen
+ PDF Chat	Bayesian Case Influence Diagnostics for Survival Models	2009	Hyunsoon Cho Joseph G. Ibrahim Debajyoti Sinha Hongtu Zhu
+ PDF Chat	Adjusted Exponentially Tilted Likelihood with Applications to Brain Morphology	2009	Hongtu Zhu Haibo Zhou Jiahua Chen Yimei Li Jeffrey A. Lieberman Martin Styner
+ PDF Chat	Local Influence for Generalized Linear Models with Missing Covariates	2009	Xiaoyan Shi Hongtu Zhu Joseph G. Ibrahim
+ PDF Chat	Model Selection Criteria for Missing-Data Problems Using the EM Algorithm	2008	Joseph G. Ibrahim Hongtu Zhu Niansheng Tang
+ PDF Chat	Statistical Modelling of Brain Morphological Measures Within Family Pedigrees.	2008	Hongtu Zhu Yimei Li Niansheng Tang Ravi Bansal Xuejun Hao Myrna M. Weissman Bradley Peterson
+ PDF Chat	Adjusted Exponentially Tilted Likelihood with Applications to Brain Morphology	2008	Hongtu Zhu Haibo Zhou Jiahua Chen Yimei Li Jeffrey A. Lieberman Martin Styner
+ PDF Chat	A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images	2008	Ying Yuan Hongtu Zhu Joseph G. Ibrahim Weili Lin Bradley S. Peterson
+ PDF Chat	Bayesian Case Influence Diagnostics for Survival Models	2008	Hyunsoon Cho Joseph G. Ibrahim Debajyoti Sinha Hongtu Zhu
+	Diagnostic measures for empirical likelihood of general estimating equations	2008	Hongtu Zhu J. G. Ibrahim Niansheng Tang Heping Zhang
+ PDF Chat	Perturbation selection and influence measures in local influence analysis	2007	Hongtu Zhu Joseph G. Ibrahim Sik‐Yum Lee Heping Zhang
+ PDF Chat	A Statistical Analysis of Brain Morphology Using Wild Bootstrapping	2007	Hongtu Zhu Joseph G. Ibrahim Niansheng Tang Daniel B. Rowe Xuejun Hao Ravi Bansal Bradley S. Peterson
+	Maximum likelihood from spatial random effects models via the stochastic approximation expectation maximization algorithm	2007	Hongtu Zhu Minggao Gu Bradley S. Peterson
+ PDF Chat	Statistical Analyses of Brain Surfaces Using Gaussian Random Fields on 2-D Manifolds	2007	Ravi Bansal Lawrence H. Staib Dongrong Xu Hongtu Zhu Bradley S. Peterson
+ PDF Chat	Generalized score test of homogeneity for mixed effects models	2006	Hongtu Zhu Heping Zhang
+ PDF Chat	A statistical framework for the classification of tensor morphologies in diffusion tensor images	2006	Hongtu Zhu Dongrong Xu Aviad E. Raz Xuejun Hao Heping Zhang Alayar Kangarlu Ravi Bansal Bradley S. Peterson
+	Asymptotics for estimation and testing procedures under loss of identifiability	2005	Hongtu Zhu Heping Zhang
+	Hypothesis testing in mixture regression models	2004	Hongtu Zhu Heping Zhang
+	A Latent Variable Model of Segregation Analysis for Ordinal Traits	2003	Heping Zhang Rui Feng Hongtu Zhu
+	Local influence for generalized linear mixed models	2003	Hongtu Zhu Sik‐Yum Lee
+	Identification of Linear Directions in Multivariate Adaptive Spline Models	2003	Heping Zhang Chang Yu Hongtu Zhu Jian Shi
+	Robust estimation and design procedures for the random effects model	2003	Julie Zhou Hongtu Zhu
+	None	2002	Hongtu Zhu Sik‐Yum Lee
+	Statistical analysis of nonlinear structural equation models with continuous and polytomous data	2000	Sik‐Yum Lee Hongtu Zhu
+	Statistical analysis of nonlinear factor analysis models	1999	Hongtu Zhu Sik‐Yum Lee
+	SOME SECOND ORDER ASYMPTOTICS IN EXPONENTIAL FAMILY NON‐LINEAR REGRESSION MODELS (A GEOMETRIC APPROACH)	1997	Bo-Cheng Wei Hong-Tu Zhu

Common Coauthors

Coauthor	Papers Together
Joseph G. Ibrahim	58
Niansheng Tang	20
Weili Lin	20
Martin Styner	19
John H. Gilmore	15
Jieping Ye	15
Chengchun Shi	14
Shikai Luo	13
Linglong Kong	12
Heping Zhang	12
Tengfei Li	11
Yimei Li	10
Dinggang Shen	10
Zhiwei Qin	8
Rui Song	8
Hai Shu	8
Fan Zhang	6
Zhengwu Zhang	6
Xiaoyan Shi	6
Bradley S. Peterson	6
Xiaocheng Tang	6
Xinyuan Song	6
Bingxin Zhao	6
Zhaohua Lu	6
Pew‐Thian Yap	6
Wenliang Pan	5
Mingxia Liu	5
Xueqin Wang	5
Shu Hu	5
Sik‐Yum Lee	5
Chao Huang	5
Dehan Kong	5
Jeffrey A. Lieberman	5
Sy‐Miin Chow	5
Hongyu An	5
Yasheng Chen	5
Ying Yuan	5
Dan Shen	5
Yimei Li	5
Ramon I. Garcia	4
Ravi Bansal	4
Ruixin Guo	4
Mihye Ahn	4
Di Xiong	4
Weinan Xiao	4
Michelle F. Miranda	4
Hyunsoon Cho	4
Shurong Zheng	4
Huaxiu Yao	4
Xiao Wang	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Unified univariate and multivariate random field theory	2004	Keith J. Worsley Jonathan Taylor Francesco Tomaiuolo Jason P. Lerch	25
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	20
+	Functional Data Analysis	2005	J. O. Ramsay B. W. Silverman	20
+ PDF Chat	Multiscale Adaptive Regression Models for Neuroimaging Data	2011	Yimei Li Hongtu Zhu Dinggang Shen Weili Lin John H. Gilmore Joseph G. Ibrahim	18
+ PDF Chat	Statistical inferences for functional data	2007	Jin‐Ting Zhang Jianwei Chen	17
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	17
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	15
+	Bootstraps of sums of independent but not identically distributed stochastic processes	2003	Michael R. Kosorok	15
+	Functional Data Analysis for Sparse Longitudinal Data	2005	Fang Yao Hans‐Georg Müller Jane-Ling Wang	13
+	Assessment of Local Influence	1986	R. Dennis Cook	13
+ PDF Chat	Propagation-Separation Approach for Local Likelihood Estimation	2005	Jörg Polzehl Vladimir Spokoiny	13
+ PDF Chat	Sure Independence Screening for Ultrahigh Dimensional Feature Space	2008	Jianqing Fan Jinchi Lv	12
+	Pattern Theory: From Representation to Inference	2007	Ulf Grenander Michael I. Miller	12
+ PDF Chat	FADTTS: Functional analysis of diffusion tensor tract statistics	2011	Hongtu Zhu Linglong Kong Runze Li Martin Styner Guido Gerig Weili Lin John H. Gilmore	12
+ PDF Chat	A Statistical Analysis of Brain Morphology Using Wild Bootstrapping	2007	Hongtu Zhu Joseph G. Ibrahim Niansheng Tang Daniel B. Rowe Xuejun Hao Ravi Bansal Bradley S. Peterson	12
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	12
+	Multivariate varying coefficient model for functional responses	2013	Hongtu Zhu Runze Li Linglong Kong	12
+	The effect of filter size on VBM analyses of DT-MRI data	2005	Derek K. Jones M Symms Mara Cercignani Robert Howard	11
+ PDF Chat	Voxel-Based Morphometry—The Methods	2000	John Ashburner Karl Friston	11
+	Functional Data Analysis	2005	J. O. Ramsay	11
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	11
+	Statistical Analysis With Missing Data	1989	Maureen Lahiff Roderick J. A. Little Donald B. Rubin	10
+ PDF Chat	Adaptive Weights Smoothing with Applications to Image Restoration	2000	Jöorg Polzehl Vladimir Spokoiny	10
+ PDF Chat	Controlling the familywise error rate in functional neuroimaging: a comparative review	2003	Thomas E. Nichols Satoru Hayasaka	9
+ PDF Chat	Missing Covariates in Generalized Linear Models When the Missing Data Mechanism is Non-ignorable	1999	Joseph G. Ibrahim Stuart R. Lipsitz Ming‐Hui Chen	9
+	Case-deletion measures for models with incomplete data	2001	H. Zhu	9
+ PDF Chat	Residuals and Influence in Regression	1984	Robert F. Ling R. Dennis Cook Sanford Weisberg	9
+	Weak Convergence and Empirical Processes	1996	Aad van der Vaart Jon A. Wellner	9
+ PDF Chat	Perturbation selection and influence measures in local influence analysis	2007	Hongtu Zhu Joseph G. Ibrahim Sik‐Yum Lee Heping Zhang	9
+	Estimating the Mean and Covariance Structure Nonparametrically When the Data are Curves	1991	John A. Rice B. W. Silverman	8
+	Local Influence for Incomplete Data Models	2001	Hong-Tu Zhu Sik‐Yum Lee	8
+ PDF Chat	Methodology and convergence rates for functional linear regression	2007	Peter Hall Joël L. Horowitz	8
+	Functional Generalized Linear Models with Images as Predictors	2009	Philip T. Reiss R. Todd Ogden	8
+	Uniform convergence rates for nonparametric regression and principal component analysis in functional/longitudinal data	2010	Yehua Li Tailen Hsing	8
+ PDF Chat	Functional linear regression analysis for longitudinal data	2005	Fang Yao Hans‐Georg Müller Jane-Ling Wang	8
+ PDF Chat	Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers	2014	Hongtu Zhu Zakaria Khondker Zhaohua Lu Joseph G. Ibrahim	8
+	Missing-Data Methods for Generalized Linear Models	2005	Joseph G. Ibrahim Ming‐Hui Chen Stuart R. Lipsitz Amy H. Herring	8
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	8
+	An Introduction to the Bootstrap	1994	Bradley Efron Robert Tibshirani	8
+ PDF Chat	On Properties of Functional Principal Components Analysis	2005	Peter Hall Mohammad Hosseini‐Nasab	8
+ PDF Chat	Properties of principal component methods for functional and longitudinal data analysis	2006	Peter Hall Hans‐Georg Müller Jane-Ling Wang	8
+ PDF Chat	Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach	2010	Maria Vounou Thomas E. Nichols Giovanni Montana	7
+ PDF Chat	Intrinsic Regression Models for Positive-Definite Matrices With Applications to Diffusion Tensor Imaging	2009	Hongtu Zhu Yasheng Chen Joseph G. Ibrahim Yimei Li Colin D. Hall Weili Lin	7
+	Longitudinal data analysis using generalized linear models	1986	Kung‐Yee Liang Scott L. Zeger	7
+ PDF Chat	Generalized Tensor-Based Morphometry of HIV/AIDS Using Multivariate Statistics on Deformation Tensors	2008	Natasha Leporé Caroline Brun Yi‐Yu Chou Tony F. Chan Rebecca A. Dutton Kiralee M. Hayashi Eileen Lüders Oscar L. López Howard Aizenstein Arthur W. Toga	7
+ PDF Chat	Local polynomial regression for symmetric positive definite matrices	2012	Ying Yuan Hongtu Zhu Weili Lin J. S. Marron	7
+	Maximum likelihood from spatial random effects models via the stochastic approximation expectation maximization algorithm	2007	Hongtu Zhu Minggao Gu Bradley S. Peterson	7
+	Nonparametric regression methods for longitudinal data analysis	2006	Hulin Wu Jinting Zhang	7
+ PDF Chat	Statistical methods with varying coefficient models	2008	Jianqing Fan Wenyang Zhang	7
+ PDF Chat	Large sample theory of intrinsic and extrinsic sample means on manifolds	2003	Rabi Bhattacharya Vic Patrangenaru	7