Hong-Tu Zhu

发表

Statistical Analysis of Diffusion Tensors in Diffusion-Weighted Magnetic Resonance Imaging Data

J. Ibrahim, B. Peterson, Heping Zhang, 2007 .

Perturbation selection and influence measures in local influence analysis

J. Ibrahim, Sik-Yum Lee, Heping Zhang, 2007, 0803.2986.

A Bayesian analysis of finite mixtures in the LISREL model

Sik-Yum Lee, Hong-Tu Zhu, 2001 .

Bayesian local influence for survival models

J. Ibrahim, Hong-Tu Zhu, Niansheng Tang, 2011, Lifetime data analysis.

Maximum likelihood estimation for spatial models

Minggao Gu, M. Gu, Hong-Tu Zhu, 2001 .

Maximum likelihood estimation for spatial models by Markov chain Monte Carlo stochastic approximation

M. Gu, Hong-Tu Zhu, 2001 .

Local influence for incomplete data models

Sik-Yum Lee, Hong-Tu Zhu, Sik-Yum Lee, 2001 .

Double Penalized H-Likelihood for Selection of Fixed and Random Effects in Mixed Effects Models

Hong-Tu Zhu, Lixing Zhu, Peirong Xu, 2015 .

Rejoinder

J. Ibrahim, B. Peterson, Heping Zhang, 2007 .

MULTIVARIATE VARYING COEFFICIENT MODEL FOR FUNCTIONAL RESPONSES.

Runze Li, Linglong Kong, Runze Li, 2012, Annals of statistics.

Auto-multicategorical regression model for the distribution of vegetation

Julie Zhou, Hong-Tu Zhu, F. He, 2008 .

Local influence for generalized linear mixed models

Sik-Yum Lee, Hong-Tu Zhu, Sik-Yum Lee, 2003 .

Asymptotics for estimation and testing procedures under loss of identifiability

Heping Zhang, Hong-Tu Zhu, 2006 .

Intrinsic partial linear models for manifold-valued data

Hong-Tu Zhu, Shihui Ying, D. Xiong, 2022, Inf. Process. Manag..

Perturbation Selection and Local Influence Analysis for Generalized Linear Mixed Models

Sik-Yum Lee, Xinyuan Song, Hong-Tu Zhu, 2010 .

Generalized score test of homogeneity for mixed effects models

Heping Zhang, Hong-Tu Zhu, 2006, math/0608028.

GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace

Hong-Tu Zhu, Mengfan Xu, Jiecheng Guo, 2022, ArXiv.

Double Penalized H-Likelihood for Selection of Fixed and Random Effects in Mixed Effects Models

Hong-Tu Zhu, Lixing Zhu, Peirong Xu, 2013, Statistics in Biosciences.

Semiparametric Bayes Local Additive Models for Longitudinal Data

D. Dunson, Hong-Tu Zhu, Zhaowei Hua, 2013, Statistics in Biosciences.

Rejoinder: Bayesian local influence for survival models

J. Ibrahim, Hong-Tu Zhu, Niansheng Tang, 2011 .

LCN: a random graph mixture model for community detection in functional brain networks.

Hongtu Zhu, Mihye Ahn, Christopher Bryant, 2017, Statistics and its interface.

Analysis of generalized linear mixed models via a stochastic approximation algorithm with Markov chain Monte-Carlo method

Sik-Yum Lee, Hong-Tu Zhu, Sik-Yum Lee, 2002, Stat. Comput..

Empirical Likelihood for Estimating Equations with Nonignorably Missing Data.

Puying Zhao, Niansheng Tang, Hong-Tu Zhu, 2014, Statistica Sinica.

Local Influence for Generalized Linear Models with Missing Covariates

Joseph G Ibrahim, Xiaoyan Shi, J. Ibrahim, 2009, Biometrics.

Case-deletion measures for models with incomplete data

Bo-Cheng Wei, Julie Zhou, Julie Zhou, 2001 .

Variable Selection in the Cox Regression Model with Covariates Missing at Random

J. Ibrahim, Hong-Tu Zhu, Ramon I. Garcia, 2010, Biometrics.

VARIABLE SELECTION FOR REGRESSION MODELS WITH MISSING DATA.

Hongtu Zhu, Joseph G Ibrahim, Ramon I Garcia, 2010, Statistica Sinica.

A diagnostic procedure based on local influence

Heping Zhang, Heping Zhang, Hong-Tu Zhu, 2004 .

Hypothesis testing in mixture regression models

Hongtu Zhu, Heping Zhang, Heping Zhang, 2004 .

Hypothesis Testing in Mixture Regression Models ( Mathematical Details )

Heping Zhang, Heping Zhang, Hong-Tu Zhu, 2004 .

A Latent Variable Model of Segregation Analysis for Ordinal Traits

Hongtu Zhu, Heping Zhang, Rui Feng, 2003 .

Identification of Linear Directions in Multivariate Adaptive Spline Models

Heping Zhang, Heping Zhang, Hong-Tu Zhu, 2003 .

Generalized empirical likelihood inference for nonsmooth moment functions with non-ignorable missing values

Hong-Tu Zhu, Niansheng Tang, Puying Zhao, 2020 .

Robust estimation and design procedures for the random effects model

Julie Zhou, Julie Zhou, Hong-Tu Zhu, 2003 .

Stochastic Approximation Algorithms for Estimation of Spatial Mixed Models

B. Peterson, F. Liang, M. Gu, 2007 .

Hard Thresholded Regression Via Linear Programming

J. Ibrahim, Qiang Sun, Hong-Tu Zhu, 2014 .

Model Selection Criteria for Missing-Data Problems Using the EM Algorithm

J. Ibrahim, Hong-Tu Zhu, Niansheng Tang, 2008, Journal of the American Statistical Association.

Maximum likelihood estimation of nonlinear structural equation models

Sik-Yum Lee, Hong-Tu Zhu, 2002 .

Nearest-Neighbor Sampling Based Conditional Independence Testing

Hong-Tu Zhu, Christina Dan Wang, Ziqi Chen, 2023, AAAI.

Submitted to the Annals of Statistics SUPPLEMENTAL MATERIAL FOR “ MULTIVARIATE VARYING COEFFICIENT MODEL FOR FUNCTIONAL RESPONSES

Runze Li, Hong-Tu Zhu, 2012 .

Statistica Sinica Preprint No : SS-2017-0505 Title FMEM : Functional Mixed Effects Models for Longitudinal Functional Responses

Jane-Ling Wang, Kehui Chen, Xinchao Luo, 2018 .

An Online Sequential Test for Qualitative Treatment Effects

Rui Song, Hong-Tu Zhu, C. Shi, 2021, J. Mach. Learn. Res..