Niansheng Tang

According to our database, Niansheng Tang authored at least 53 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Semiparametric Bayesian approach to assess non-inferiority with assay sensitivity in a three-arm trial with normally distributed endpoints.

Niansheng Tang, Fan Liang, Depeng Jiang

Comput. Stat., June, 2024

Tuning-free sparse clustering via alternating hard-thresholding.

Wei Dong, Chen Xu, Jinhan Xie, Niansheng Tang

J. Multivar. Anal., 2024

Differentially Private Data Release for Mixed-type Data via Latent Factor Models.

Yanqing Zhang, Qi Xu, Niansheng Tang, Annie Qu

J. Mach. Learn. Res., 2024

Variational Bayesian approach for analyzing interval-censored data under the proportional hazards model.

Wenting Liu, Huiqiong Li, Niansheng Tang, Jun Lyu

Comput. Stat. Data Anal., 2024

2023

Robust low-rank tensor completion via new regularized model with approximate SVD.

Fengsheng Wu, Chaoqian Li, Yaotang Li, Niansheng Tang

Inf. Sci., June, 2023

Deep expectation-maximization network for unsupervised image segmentation and clustering.

Yannan Pu, Jian Sun, Niansheng Tang, Zongben Xu

Image Vis. Comput., 2023

2022

Generalized empirical likelihood for nonsmooth estimating equations with missing data.

Li-E Cui, Pu-Ying Zhao, Niansheng Tang

J. Multivar. Anal., 2022

Editorial: Bayesian Inference and AI.

Niansheng Tang, Catherine Liu, Jian Qing Shi, Yangxin Huang

Frontiers Big Data, 2022

Bayesian Joint Modeling of Multivariate Longitudinal and Survival Data With an Application to Diabetes Study.

Yangxin Huang, Jiaqing Chen, Lan Xu, Nian-Sheng Tang

Frontiers Big Data, 2022

Nonparametric empirical Bayesian method for noncontractual setting of customer-base analysis.

Gen Ye, Songjian Wang, Niansheng Tang

Commun. Stat. Simul. Comput., 2022

2021

Dynamic Tensor Recommender Systems.

Yanqing Zhang, Xuan Bi, Niansheng Tang, Annie Qu

J. Mach. Learn. Res., 2021

2020

The deep learning word vector model using part of speech and sentiment information.

Dongping Wei, Niansheng Tang, Tianli lei, Shouwen Wen

J. Intell. Fuzzy Syst., 2020

Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions.

Tong Su, Yafei Wang, Yi Liu, William G. Branton, Eugene Asahchop, Christopher Power, Bei Jiang, Linglong Kong, Niansheng Tang

Entropy, 2020

Regression analysis of interval-censored failure time data with time-dependent covariates.

Fengting Yi, Niansheng Tang, Jianguo Sun

Comput. Stat. Data Anal., 2020

A nonparametric feature screening method for ultrahigh-dimensional missing response.

Xiaoxia Li, Niansheng Tang, Jinhan Xie, Xiaodong Yan

Comput. Stat. Data Anal., 2020

Diagnosis of thyroid nodules for ultrasonographic characteristics indicative of malignancy using random forest.

Dan Chen, Jun Hu, Mei Zhu, Niansheng Tang, Yang Yang, Yuran Feng

BioData Min., 2020

2019

Robust estimation of generalized estimating equations with finite mixture correlation matrices and missing covariates at random for longitudinal data.

Niansheng Tang, Wenjun Wang

J. Multivar. Anal., 2019

Joint measure matrix and channel estimation for millimeter-wave massive MIMO with hybrid precoding.

Haoxu Yang, Lutao Gao, Niansheng Tang, Po Yang

EURASIP J. Wirel. Commun. Netw., 2019

Experimental analysis and evaluation of wide residual networks based agricultural disease identification in smart agriculture system.

Haoxu Yang, Lutao Gao, Niansheng Tang, Po Yang

EURASIP J. Wirel. Commun. Netw., 2019

Bayesian adaptive Lasso for quantile regression models with nonignorably missing response data.

Dengke Xu, Niansheng Tang

Commun. Stat. Simul. Comput., 2019

Bayesian analysis for mixture of latent variable hidden Markov models with multivariate longitudinal data.

Ye-mao Xia, Nian-Sheng Tang

Comput. Stat. Data Anal., 2019

Feature screening in ultrahigh-dimensional partially linear models with missing responses at random.

Niansheng Tang, Linli Xia, Xiaodong Yan

Comput. Stat. Data Anal., 2019

2018

Semiparametric Bayesian analysis of transformation linear mixed models.

Niansheng Tang, Ying Wu, Dan Chen

J. Multivar. Anal., 2018

Adjusted Empirical Likelihood Estimation of Distribution Function and Quantile with Nonignorable Missing Data.

Xianwen Ding, Niansheng Tang

J. Syst. Sci. Complex., 2018

Fused mean-variance filter for feature screening.

Xiaodong Yan, Nian-Sheng Tang, Jinhan Xie, Xianwen Ding, Zhiqiang Wang

Comput. Stat. Data Anal., 2018

Assessing non-inferiority for incomplete paired-data under non-ignorable missing mechanism.

Hui-Qiong Li, Guo-Liang Tian, Niansheng Tang, Hongyuan Cao

Comput. Stat. Data Anal., 2018

2017

Bayesian empirical likelihood estimation of quantile structural equation models.

Yanqing Zhang, Nian-Sheng Tang

J. Syst. Sci. Complex., 2017

Sensitivity analysis of partially linear models with response missing at random.

Ai-Xia Fan, Nian-Sheng Tang

Commun. Stat. Simul. Comput., 2017

Bayesian local influence analysis of general estimating equations with nonignorable missing data.

Yan-Qing Zhang, Nian-Sheng Tang

Comput. Stat. Data Anal., 2017

Bayesian local influence of semiparametric structural equation models.

Ming Ouyang, Xiaodong Yan, Ji Chen, Nian-Sheng Tang, Xin-Yuan Song

Comput. Stat. Data Anal., 2017

2016

Latent variable selection in structural equation models.

Yan-Qing Zhang, Guo-Liang Tian, Nian-Sheng Tang

J. Multivar. Anal., 2016

Generalized linear latent models for multivariate longitudinal measurements mixed with hidden Markov models.

Ye-mao Xia, Nian-Sheng Tang, Jianwei Gou

J. Multivar. Anal., 2016

Quantile regression of longitudinal data with informative observation times.

Xuerong Chen, Niansheng Tang, Yong Zhou

J. Multivar. Anal., 2016

Testing hypothesis for a simple ordering in incomplete contingency tables.

Hui-Qiong Li, Guo-Liang Tian, Xuejun Jiang, Nian-Sheng Tang

Comput. Stat. Data Anal., 2016

A propensity score adjustment method for regression models with nonignorable missing covariates.

Depeng Jiang, Pu-Ying Zhao, Nian-Sheng Tang

Comput. Stat. Data Anal., 2016

2015

Bayesian variable selection in multinomial probit model for classifying high-dimensional data.

Aijun Yang, Yunxian Li, Niansheng Tang, Jinguan Lin

Comput. Stat., 2015

2014

Bayesian influence analysis of generalized partial linear mixed models for longitudinal data.

Nian-Sheng Tang, Xing-De Duan

J. Multivar. Anal., 2014

Bayesian Analysis of Nonlinear Reproductive Dispersion Mixed Models for Longitudinal Data with Nonignorable Missing Covariates.

Nian-Sheng Tang, Hui Zhao

Commun. Stat. Simul. Comput., 2014

Semiparametric Bayesian joint models of multivariate longitudinal and survival data.

Nian-Sheng Tang, An-Min Tang, Dong-Dong Pan

Comput. Stat. Data Anal., 2014

2013

Semiparametric Bayesian analysis of nonlinear reproductive dispersion mixed models for longitudinal data.

Nian-Sheng Tang, Yuan-Ying Zhao

J. Multivar. Anal., 2013

Empirical likelihood inference for mean functionals with nonignorably missing response data.

Hui Zhao, Pu-Ying Zhao, Nian-Sheng Tang

Comput. Stat. Data Anal., 2013

2012

A semiparametric Bayesian approach to generalized partial linear mixed models for longitudinal data.

Nian-Sheng Tang, Xing-De Duan

Comput. Stat. Data Anal., 2012

A Bayesian approach for generalized random coefficient structural equation models for longitudinal data with adjacent time effects.

Xin-Yuan Song, Nian-Sheng Tang, Sy-Miin Chow

Comput. Stat. Data Anal., 2012

2011

Sample-size determination for two independent binomial experiments.

Zhanping Zhao, Niansheng Tang, Yun-Xian Li

J. Syst. Sci. Complex., 2011

Confidence Intervals for Difference Between Two Poisson Rates.

Hui-Qiong Li, Man-Lai Tang, Wai-Yin Poon, Nian-Sheng Tang

Commun. Stat. Simul. Comput., 2011

Testing equality of risk ratios in multiple 2×2 tables with structural zero.

Nian-Sheng Tang, Shao-Ping Jiang

Comput. Stat. Data Anal., 2011

2010

FRATS: Functional Regression Analysis of DTI Tract Statistics.

Hongtu Zhu, Martin Styner, Niansheng Tang, Zhexing Liu, Weili Lin, John H. Gilmore

IEEE Trans. Medical Imaging, 2010

Bayesian analysis of semiparametric reproductive dispersion mixed-effects models.

Xue-Dong Chen, Nian-Sheng Tang

Comput. Stat. Data Anal., 2010

2009

Bayesian analysis of non-linear structural equation models with non-ignorable missing outcomes from reproductive dispersion models.

Nian-Sheng Tang, Xing Chen, Ying-Zi Fu

J. Multivar. Anal., 2009

Local influence analysis of nonlinear structural equation models with nonignorable missing outcomes from reproductive dispersion models.

Ying-Zi Fu, Nian-Sheng Tang, Xing Chen

Comput. Stat. Data Anal., 2009

2008

Testing the equality of proportions for correlated otolaryngologic data.

Nian-Sheng Tang, Man-Lai Tang, Shi-Fang Qiu

Comput. Stat. Data Anal., 2008

2007

A Statistical Analysis of Brain Morphology Using Wild Bootstrapping.

Hongtu Zhu, Joseph G. Ibrahim, Niansheng Tang, D. B. Rowe, Xuejun Hao, Ravi Bansal, Bradley S. Peterson

IEEE Trans. Medical Imaging, 2007

2006

Analysis of the risk difference of marginal and conditional probabilities in an incomplete correlated 2×2 table.

Shunfang Wang, Nian-Sheng Tang, Xueren Wang

Comput. Stat. Data Anal., 2006