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ORCIDNiansheng Tang
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- affiliation: Yunnan University, Kunming, China
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2020 – today
- 2024
[j53]Wenting Liu, Huiqiong Li, Niansheng Tang, Jun Lyu:
Variational Bayesian approach for analyzing interval-censored data under the proportional hazards model. Comput. Stat. Data Anal. 195: 107957 (2024)- [j52]Niansheng Tang
, Fan Liang, Depeng Jiang:
Semiparametric Bayesian approach to assess non-inferiority with assay sensitivity in a three-arm trial with normally distributed endpoints. Comput. Stat. 39(4): 2157-2181 (2024) - [j51]Yanqing Zhang, Qi Xu, Niansheng Tang, Annie Qu:
Differentially Private Data Release for Mixed-type Data via Latent Factor Models. J. Mach. Learn. Res. 25: 116:1-116:37 (2024) - [j50]Wei Dong, Chen Xu, Jinhan Xie, Niansheng Tang:
Tuning-free sparse clustering via alternating hard-thresholding. J. Multivar. Anal. 203: 105330 (2024) - 2023
- [j49]Fengsheng Wu, Chaoqian Li, Yaotang Li, Niansheng Tang:
Robust low-rank tensor completion via new regularized model with approximate SVD. Inf. Sci. 629: 646-666 (2023) - [j48]Yannan Pu, Jian Sun, Niansheng Tang, Zongben Xu:
Deep expectation-maximization network for unsupervised image segmentation and clustering. Image Vis. Comput. 135: 104717 (2023) - 2022
- [j47]Gen Ye, Songjian Wang, Niansheng Tang:
Nonparametric empirical Bayesian method for noncontractual setting of customer-base analysis. Commun. Stat. Simul. Comput. 51(3): 1234-1254 (2022) - [j46]Yangxin Huang, Jiaqing Chen, Lan Xu, Nian-Sheng Tang:
Bayesian Joint Modeling of Multivariate Longitudinal and Survival Data With an Application to Diabetes Study. Frontiers Big Data 5: 812725 (2022) - [j45]Niansheng Tang, Catherine Liu, Jian Qing Shi, Yangxin Huang:
Editorial: Bayesian Inference and AI. Frontiers Big Data 5 (2022) - [j44]Li-E Cui, Pu-Ying Zhao, Niansheng Tang:
Generalized empirical likelihood for nonsmooth estimating equations with missing data. J. Multivar. Anal. 190: 104907 (2022) - 2021
- [j43]Yanqing Zhang, Xuan Bi, Niansheng Tang, Annie Qu:
Dynamic Tensor Recommender Systems. J. Mach. Learn. Res. 22: 65:1-65:35 (2021) - 2020
- [j42]Dan Chen, Jun Hu, Mei Zhu, Niansheng Tang, Yang Yang, Yuran Feng:
Diagnosis of thyroid nodules for ultrasonographic characteristics indicative of malignancy using random forest. BioData Min. 13(1): 14 (2020) - [j41]Xiaoxia Li, Niansheng Tang, Jinhan Xie, Xiaodong Yan:
A nonparametric feature screening method for ultrahigh-dimensional missing response. Comput. Stat. Data Anal. 142 (2020) - [j40]Fengting Yi, Niansheng Tang, Jianguo Sun:
Regression analysis of interval-censored failure time data with time-dependent covariates. Comput. Stat. Data Anal. 144: 106848 (2020) - [j39]Tong Su, Yafei Wang, Yi Liu, William G. Branton, Eugene Asahchop, Christopher Power, Bei Jiang, Linglong Kong, Niansheng Tang:
Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions. Entropy 22(11): 1257 (2020) - [j38]Dongping Wei, Niansheng Tang, Tianli lei, Shouwen Wen:
The deep learning word vector model using part of speech and sentiment information. J. Intell. Fuzzy Syst. 38(1): 427-440 (2020)
2010 – 2019
- 2019
- [j37]Ye-mao Xia, Nian-Sheng Tang:
Bayesian analysis for mixture of latent variable hidden Markov models with multivariate longitudinal data. Comput. Stat. Data Anal. 132: 190-211 (2019) - [j36]Niansheng Tang, Linli Xia, Xiaodong Yan:
Feature screening in ultrahigh-dimensional partially linear models with missing responses at random. Comput. Stat. Data Anal. 133: 208-227 (2019) - [j35]Dengke Xu, Niansheng Tang:
Bayesian adaptive Lasso for quantile regression models with nonignorably missing response data. Commun. Stat. Simul. Comput. 48(9): 2727-2742 (2019) - [j34]Haoxu Yang, Lutao Gao, Niansheng Tang, Po Yang:
Experimental analysis and evaluation of wide residual networks based agricultural disease identification in smart agriculture system. EURASIP J. Wirel. Commun. Netw. 2019: 292 (2019) - [j33]Haoxu Yang, Lutao Gao, Niansheng Tang, Po Yang:
Joint measure matrix and channel estimation for millimeter-wave massive MIMO with hybrid precoding. EURASIP J. Wirel. Commun. Netw. 2019: 293 (2019) - [j32]Niansheng Tang, Wenjun Wang:
Robust estimation of generalized estimating equations with finite mixture correlation matrices and missing covariates at random for longitudinal data. J. Multivar. Anal. 173: 640-655 (2019) - 2018
- [j31]Xiaodong Yan, Nian-Sheng Tang, Jinhan Xie, Xianwen Ding, Zhiqiang Wang:
Fused mean-variance filter for feature screening. Comput. Stat. Data Anal. 122: 18-32 (2018) - [j30]Hui-Qiong Li, Guo-Liang Tian, Niansheng Tang, Hongyuan Cao:
Assessing non-inferiority for incomplete paired-data under non-ignorable missing mechanism. Comput. Stat. Data Anal. 127: 69-81 (2018) - [j29]Xianwen Ding, Niansheng Tang:
Adjusted Empirical Likelihood Estimation of Distribution Function and Quantile with Nonignorable Missing Data. J. Syst. Sci. Complex. 31(3): 820-840 (2018) - [j28]Niansheng Tang, Ying Wu, Dan Chen:
Semiparametric Bayesian analysis of transformation linear mixed models. J. Multivar. Anal. 166: 225-240 (2018) - 2017
- [j27]Yan-Qing Zhang, Nian-Sheng Tang:
Bayesian local influence analysis of general estimating equations with nonignorable missing data. Comput. Stat. Data Anal. 105: 184-200 (2017) - [j26]Ming Ouyang, Xiaodong Yan, Ji Chen, Nian-Sheng Tang, Xin-Yuan Song:
Bayesian local influence of semiparametric structural equation models. Comput. Stat. Data Anal. 111: 102-115 (2017) - [j25]Ai-Xia Fan, Nian-Sheng Tang:
Sensitivity analysis of partially linear models with response missing at random. Commun. Stat. Simul. Comput. 46(7): 5323-5339 (2017) - [j24]Yanqing Zhang, Nian-Sheng Tang:
Bayesian empirical likelihood estimation of quantile structural equation models. J. Syst. Sci. Complex. 30(1): 122-138 (2017) - 2016
- [j23]Depeng Jiang, Pu-Ying Zhao, Nian-Sheng Tang:
A propensity score adjustment method for regression models with nonignorable missing covariates. Comput. Stat. Data Anal. 94: 98-119 (2016) - [j22]Hui-Qiong Li, Guo-Liang Tian, Xuejun Jiang, Nian-Sheng Tang:
Testing hypothesis for a simple ordering in incomplete contingency tables. Comput. Stat. Data Anal. 99: 25-37 (2016) - [j21]Xuerong Chen, Niansheng Tang, Yong Zhou:
Quantile regression of longitudinal data with informative observation times. J. Multivar. Anal. 144: 176-188 (2016) - [j20]Yan-Qing Zhang, Guo-Liang Tian, Nian-Sheng Tang:
Latent variable selection in structural equation models. J. Multivar. Anal. 152: 190-205 (2016) - [j19]Ye-mao Xia, Nian-Sheng Tang, Jianwei Gou:
Generalized linear latent models for multivariate longitudinal measurements mixed with hidden Markov models. J. Multivar. Anal. 152: 259-275 (2016) - 2015
- [j18]Aijun Yang, Yunxian Li, Niansheng Tang, Jinguan Lin:
Bayesian variable selection in multinomial probit model for classifying high-dimensional data. Comput. Stat. 30(2): 399-418 (2015) - 2014
- [j17]Nian-Sheng Tang, An-Min Tang, Dong-Dong Pan:
Semiparametric Bayesian joint models of multivariate longitudinal and survival data. Comput. Stat. Data Anal. 77: 113-129 (2014) - [j16]Nian-Sheng Tang, Hui Zhao:
Bayesian Analysis of Nonlinear Reproductive Dispersion Mixed Models for Longitudinal Data with Nonignorable Missing Covariates. Commun. Stat. Simul. Comput. 43(6): 1265-1287 (2014) - [j15]Nian-Sheng Tang, Xing-De Duan:
Bayesian influence analysis of generalized partial linear mixed models for longitudinal data. J. Multivar. Anal. 126: 86-99 (2014) - 2013
- [j14]Hui Zhao, Pu-Ying Zhao, Nian-Sheng Tang:
Empirical likelihood inference for mean functionals with nonignorably missing response data. Comput. Stat. Data Anal. 66: 101-116 (2013) - [j13]Nian-Sheng Tang, Yuan-Ying Zhao:
Semiparametric Bayesian analysis of nonlinear reproductive dispersion mixed models for longitudinal data. J. Multivar. Anal. 115: 68-83 (2013) - 2012
- [j12]Xin-Yuan Song, Nian-Sheng Tang, Sy-Miin Chow:
A Bayesian approach for generalized random coefficient structural equation models for longitudinal data with adjacent time effects. Comput. Stat. Data Anal. 56(12): 4190-4203 (2012) - [j11]Nian-Sheng Tang, Xing-De Duan:
A semiparametric Bayesian approach to generalized partial linear mixed models for longitudinal data. Comput. Stat. Data Anal. 56(12): 4348-4365 (2012) - 2011
- [j10]Nian-Sheng Tang, Shao-Ping Jiang:
Testing equality of risk ratios in multiple 2×2 tables with structural zero. Comput. Stat. Data Anal. 55(3): 1273-1284 (2011) - [j9]Hui-Qiong Li, Man-Lai Tang, Wai-Yin Poon, Nian-Sheng Tang:
Confidence Intervals for Difference Between Two Poisson Rates. Commun. Stat. Simul. Comput. 40(9): 1478-1493 (2011) - [j8]Zhanping Zhao, Niansheng Tang, Yun-Xian Li:
Sample-size determination for two independent binomial experiments. J. Syst. Sci. Complex. 24(5): 981-990 (2011) - 2010
- [j7]Xue-Dong Chen, Nian-Sheng Tang:
Bayesian analysis of semiparametric reproductive dispersion mixed-effects models. Comput. Stat. Data Anal. 54(9): 2145-2158 (2010) - [j6]Hongtu Zhu, Martin Styner, Niansheng Tang, Zhexing Liu, Weili Lin, John H. Gilmore:
FRATS: Functional Regression Analysis of DTI Tract Statistics. IEEE Trans. Medical Imaging 29(4): 1039-1049 (2010)
2000 – 2009
- 2009
- [j5]Ying-Zi Fu, Nian-Sheng Tang, Xing Chen:
Local influence analysis of nonlinear structural equation models with nonignorable missing outcomes from reproductive dispersion models. Comput. Stat. Data Anal. 53(10): 3671-3684 (2009) - [j4]Nian-Sheng Tang, Xing Chen, Ying-Zi Fu:
Bayesian analysis of non-linear structural equation models with non-ignorable missing outcomes from reproductive dispersion models. J. Multivar. Anal. 100(9): 2031-2043 (2009) - 2008
- [j3]Nian-Sheng Tang, Man-Lai Tang, Shi-Fang Qiu:
Testing the equality of proportions for correlated otolaryngologic data. Comput. Stat. Data Anal. 52(7): 3719-3729 (2008) - 2007
- [j2]Hongtu Zhu, Joseph G. Ibrahim, Niansheng Tang, D. B. Rowe, Xuejun Hao, Ravi Bansal, Bradley S. Peterson:
A Statistical Analysis of Brain Morphology Using Wild Bootstrapping. IEEE Trans. Medical Imaging 26(7): 954-966 (2007) - 2006
- [j1]Shunfang Wang, Nian-Sheng Tang, Xueren Wang:
Analysis of the risk difference of marginal and conditional probabilities in an incomplete correlated 2×2 table. Comput. Stat. Data Anal. 50(6): 1597-1614 (2006)
Coauthor Index
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