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Tang, Niansheng
35
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1
Introductory Chapter: Development of Bayesian Inference:
Tang, Niansheng
;
Wu, Ying
ISBN:978-1-80356-044-1. , 2022
Link:
https://mts.intechopen.c..
?
2
Introductory Chapter: Development of Data Clustering:
Tang, Niansheng
;
Wu, Ying
ISBN:978-1-83969-887-3. , 2022
Link:
https://mts.intechopen.c..
?
3
Dynamic Tensor Recommender Systems:
Zhang, Yanqing
;
Bi, Xuan
;
Tang, Niansheng
.
http://arxiv.org/abs/2003.05568. , 2020
Link:
http://arxiv.org/abs/200..
?
4
Bayesian Analysis for Hidden Markov Factor Analysis Models:
Xia, Yemao
;
Zeng, Xiaoqian
;
Tang, Niansheng
ISBN:978-1-78923-092-5. , 2017
Link:
https://mts.intechopen.c..
?
5
Confidence intervals construction for difference of two mea..:
Li, Hui-Qiong
;
Tang, Nian-Sheng
;
Yi, Jie-Yi
http://www.biomedcentral.com/1471-2288/16/31. , 2016
Link:
http://www.biomedcentral..
?
6
Exponentially tilted likelihood inference on growing dimens..:
Tang, Nian-Sheng
;
Yan, Xiao-Dong
;
Zhao, Pu-Ying
http://arxiv.org/abs/1612.08246. , 2016
Link:
http://arxiv.org/abs/161..
?
7
Testing non-inferiority of a new treatment in three-arm cli..:
Tang, Nian-Sheng
;
Yu, Bin
;
Tang, Man-Lai
http://www.biomedcentral.com/1471-2288/14/134. , 2014
Link:
http://www.biomedcentral..
?
8
Non-Parametric Non-Inferiority Assessment in a Three-Arm Tr..:
Wei Li
;
Yunqi Zhang
;
Niansheng Tang
https://www.mdpi.com/2227-7390/11/1/246. , 2023
Link:
https://doi.org/10.3390/..
?
9
Non-Parametric Non-Inferiority Assessment in a Three-Arm Tr..:
Wei Li
;
Yunqi Zhang
;
Niansheng Tang
Probability and Statistics. , 2023
Link:
https://doi.org/10.3390/..
?
10
Confidence Intervals for Assessing Non-Inferiority with Ass..:
Niansheng Tang
;
Fan Liang
https://www.mdpi.com/2227-7390/10/2/167. , 2022
Link:
https://doi.org/10.3390/..
?
11
Confidence Intervals for Assessing Non-Inferiority with Ass..:
Niansheng Tang
;
Fan Liang
Probability and Statistics. , 2022
Link:
https://doi.org/10.3390/..
?
12
Variational Bayesian Inference in High-Dimensional Linear M..:
Jieyi Yi
;
Niansheng Tang
https://www.mdpi.com/2227-7390/10/3/463. , 2022
Link:
https://doi.org/10.3390/..
?
13
Variational Bayesian Inference in High-Dimensional Linear M..:
Jieyi Yi
;
Niansheng Tang
Probability and Statistics. , 2022
Link:
https://doi.org/10.3390/..
?
14
Editorial: Bayesian Inference and AI:
Niansheng Tang
;
Catherine Liu
;
Jian Qing Shi
.
https://www.frontiersin.org/articles/10.3389/fdata.2022.934362/full. , 2022
Link:
https://doi.org/10.3389/..
?
15
scDLC: a deep learning framework to classify large sample s..:
Yan Zhou
;
Minjiao Peng
;
Bin Yang
...
https://doi.org/10.1186/s12864-022-08715-1. , 2022
Link:
https://doi.org/10.1186/..
1-15