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晏挺

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职称js6666金沙登录入口统计系，教授，博导
办公室科学会堂附楼205室
邮箱tingyanty@mail.ccnu.edu.cn

个人简介

开设课程

研究方向

网络数据分析，成对比较数据分析

教育经历

工作经历

研究成果

1.Du, Y., Qu, L., Yan, T., and Zhang, Y. (2023+). Time-varying β-model for dynamic directed networks. Scandinavian Journal of Statistics. https://doi.org/10.1111/sjos.12650
2.Wang Q., Zhang Y. and Yan T.(2023). Asymptotic theory in network models with covariates and a growing number of node parameters. Annals of the Institute of Statistical Mathematics, 75, 369-392. 
3.Wang Q., Yan, T., Jiang B. and Leng C. (2022). Two-mode networks: inference with as many parameters as actors and differential privacy. Journal of Machine Learning Research, 23(292), 1-38.
4.Fan Y., Jiang B., Yan T. and Zhang Y. (2022+). Asymptotic theory in bipartite graph models with a growing number of parameters. Canadian Journal of Statistics, https://doi.org/10.1002/cjs.11735.
5.Fawad M, Cassalho F, Ren J, Chen L, Yan T. State-of-the-Art Statistical Approaches for Estimating Flood Events. Entropy. 2022; 24(7):898. https://doi.org/10.3390/e24070898
6.Yan T. (2021). Directed networks with a differentially private bi-degree sequence, Statistica Sinica, 31(4), 2031-2050.
7.Hu J., Zhang J., Qin H., Yan T., and Zhu J.(2021). Using maximum entry-wise deviation to test the goodness-of-fit for stochastic block models. Journal of the American Statistical Association. 116(535)，1373-1382. 
8.Zhang X., Ou-Yang L., Yan T., Hu X., Yan H. (2021). A joint graphical model for inferring gene networks across multiple subpopulations and data types，IEEE Transactions on Cybernetics, 51(2), 1043-1055.
9.Fan Y., Zhang H. and Yan T. (2020). Asymptotic theory for differentially private generalized β-models with parameters increasing. Statistics and Its Interface, 13,  385–398
10.Pan L. and Yan T. (2020). Asymptotics in the beta-model for networks with a differentially private degree sequence. Communications in Statistics - Theory and Methods, 49(18), 4378–4393
11.Hu J., Qin H., Yan T. and Zhao Y. (2020). Corrected Bayesian information criterion for stochastic block models. Journal of the American Statistical Association. 115(532), 1771-1783.
12.Yan T., Jiang B., Fienberg S. E., and Leng C. (2019). Statistical inference in a directed network model with covariates. Journal of the American Statistical Association, 114(526), 857-868.
13.Fawad M., Yan T., Chen L., Huang K., Vijay P. Singh V. P. (2019). Multiparameter probability distributions for at-site frequency analysis of annual maximum wind speed with L-Moments for parameter estimation. Energy, 181, 724 -737.
14.Yan T., Qu L., Li Z. and Yuan A. (2018). Conditional kernel density estimation for some incomplete data models. Electronic Journal of Statistics, 12(1), 1299-1329.
15.Su L.,Qian X., and Yan T. (2018). A note on a network model with degree heterogeneity and homophily. Statistics and Probability Letters, 138,17-30.
16.Fawad M., Ahmad I., Nadeem F. A., Yan T. and Abbas A. (2018). Estimation of wind speed using regional frequency analysis based on linear-moments. International Journal of Climatology,38(12) , 4431-4444.
17.Zhang Y., Qian X., Qin H. and Yan T. (2017). Affiliation networks with an increasing degree sequence. Communication in Statistics-Theory and Methods. 46(22), 11163-11180.
18.Abd Elgawad, M. A., Barakat, H.M., Qin H. and Yan T. (2017). Limit theory of bivariate dual generalized order statistics with random index. Statistics. 51(3), 572-590.
19.Li W., Yan T., Abd Elgawad M., and Qin H. (2017). Degree-Based Moment Estimation for Ordered Networks. Journal of Systems Science and Complexity. 30, 721-733
20.Yan T, Leng C., and Zhu J. (2016).  Asymptotics in directed exponential random graph models with an increasing bi-degree sequence. Annals of Statistics, 44(1), 31-57 
21.Leng, C. and Yan, T. (2016). Discussion of "Statistical modelling of citation exchange between statistics journals" by Varin, Cattelan and Firth, Journal of the Royal Statistical Society Series A, 179, Page 54.
22.Yan T., Qin H. and Wang H. (2016). Asymptotics in undirected random graph models parameterized by the strengths of vertices. Statistica Sinica, 26(1), 273-293. 
23.Yan T. (2016). Rankings in the Generalized Bradley-Terry models when the strong connection condition fails. Communication in Statistics-Theory and Methods. 45(2), 344-358.
24.Yan T. and Zhao Y. (2016). Asymptotics of score test in the generalized β-model for networks. Statistics and Probability Letters.  119,163-169.
25.Yan T., Li Z., Li Y. and Qin H. (2016). Likelihood ratio tests in the Rasch model for item response data when the number of persons and items goes to infinity. Statistics and Its Interface, 9, 223-232.
26.Zhang Y., Chen S., Qin H., and Yan T. (2016). Directed weighted random graphs with an increasing bi-degree sequence. Statistics and Probability Letters. 119, 235-240.
27.Yan T., Zhao Y. and Qin H. (2015). Asymptotic normality in the maximum entropy distributions on graphs with an growing number of parameters. Journal of Multivariate Analysis, 133, 61-76.  
28.Yan T. (2015). A note on asymptotic distributions in maximum entropy models for networks. Statistics and Probability Letters. 98, 1-5. 
29.Yan T. and Leng C. (2015). A simulation study of p1 model for directed  random graphs. Statistics and Its Interface, 8, 255-266
30. Yan T., Li Q., Li Y., Li Z. and Zheng G. (2013). Genetic association with multiple traits in the presence of population stratification.  Genetic Epidemiology,  37(6), 571-580.
31.Yan T. and Xu J. (2013). A central limit theorem in the β-model for undirected random graphs with a diverging number of vertices.  Biometrika. 100(2), 519-524.
32.Yan T., Yang Y. and Xu J. (2012). Sparse paired comparisons in the Bradley-Terry model. Statistica Sinica, 22(3), 1305-1318
33.Yan T., Hou B. and Yang Y. (2009). Correcting for cryptic relatedness by a regression-based genomic control method. BMC Genetics. doi:10.1186/1471-2156-10-78.
34.Yan T., Yang Y., Chen X., DeAngelis MM, Hoh J and Zhang H. (2009). Genotypic Association Analysis Using Discordant- Relative-Pairs. Annals of Human Genetics. 73(1), 84-94.




有意读博的同学欢迎附上个人教育研究经历跟我联系。

研究项目

1. 国家自然科学基金(12171188):高维成对比较模型中的统计推断. 2022/01-2025/12, 主持人。
2. 国家自然科学基金(11771171):网络数据隐私保护的统计方法研究. 2018/01-2021/12,主持人。
3. 国家自然科学基金(11401239):加权网络数据建模及其统计推断. 2015/01-2017/12，主持人。
4. 国家自然科学基金(11341001):高维网络数据建模及其渐近推断.2014/01-2014/12，主持人。

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