姓 名：黄涛
职 称：教授
研究方向：非参半参建模、高维数据分析、纵向数据分析、临床实验
教授课程：概率论、数理统计
E - mail：huang.tao@mail.shufe.edu.cn；电话：65901206
研究项目
序号 | 项目名称 | 项目编号 | 项目来源 | 起止时间 | 项目经费 |
1 | 高维数据的变量选择及在金融和生物中的应用 | 13PJC048 | 上海市浦江人才计划 | 2013/09 - 2015/08 | |
2 | 局部平稳面板数据的统计建模与推断 | 11871323 | 国家自然科学基金面上项目 | 2019/01 – 2022/12 | |
2 | 非欧对称正定矩阵数据的建模、推断与应用研究 | 国家自然科学基金面上项目 | 2024/01 – 2027/12 |
研究领域
非参半参建模、高维数据分析、纵向数据分析、临床实验
教育经历
1999年8月－2004年5月 北卡罗莱纳大学统计系理学博士
1995年9月－1999年7月 北京大学概率统计系理学学士
工作经历
2012年12月－至今： 上海财经大学统计与管理学院教授
2011年8月－2012年11月： 上海富安达信息技术有限公司量化金融分析师
2006年8月－2011年5月： 弗吉尼亚大学统计系助理教授
2009年9月－2009年12月： 普林斯顿大学运筹与金融工程系访问学者
2004年6月－2006年7月： 耶鲁大学公共健康学院博士后
研究成果
1.Huang Tao, Pei Youquan, You Jinhong, Zhang Wenyang (2025). A Flexible and Parsimonious Modelling Strategy for Clustered Data Analysis, Annals of Applied Statistics, Vol 19, No. 2, 1362-1381.
2.唐一鸣，胡盛錩，龙宇航，黄涛*（2023）. 网络数据异质非参数模型的同质追踪,应用数学学报，(6): 963 -997 .
3.胡盛錩，黄涛* （2023）. 对称正定矩阵时间序列自回归模型的统计推断，数理统计与管理，已接收。
4.Zhu Nenghui, You Jinhong, Huang Tao (2022). Two-stage local rank estimation for generalised partially linear varying-coefficient models,Journal of Nonparametric Statistics, 34，707-733.
5.Long Yuhang, Huang Tao* (2022). Statistical inference on group Rasch mixture network model, Stat, 11:e436.
6.王守霞，尤进红, 黄涛*（2022）存在趋势和周期特征的非平稳时间序列的建模及其应用，中国科学数学中文版，52卷，2期，177-208.
7.Long Yuhang, Huang Tao* (2022). A note on a dynamic network model with homogeneous structure, Statistics and Probability Letters, 184, 109363.
8.唐一鸣，龙宇航，黄涛 (2021). 带隐示性变量的线性测量误差模型的统计推断, 应用数学学报，44(6), 807-827.
9.Pei Youquan, Huang Tao, Peng Heng and You Jinhong (2021). Network-based Clustering for Varying Coefficient Panel Data Models, Journal of Business & Economic Statistics , accepted.
10.Wang Shouxia, Huang Tao, You Jinhong, Cheng Ming-Yen (2021). Robust Inference for Nonstationary Time Series with Possibly Multiple Changing Periodic Structures, Journal of Business & Economic Statistics , accepted.
11.Hu Lixia, Huang Tao* and You Jinhong (2021). Robust Inference in Varying-coefficient Additive Models for Longitudinal/Functional Data, Statistica Sinica, 31 (2021), 773-796.
12.Tang Yiming, Bai Yang, Huang Tao* (2021) Network vector autoregression with individual effects, Metrika, 84(6), 875-893.
13.Pei Youquan*, Tang Yiming and Huang Tao (2020). Multivariate longitudinal model with irregular time autoregressive error process, Science China-Mathematics, 63(10), 2117–2136.
14.Hu Lixia, Huang Tao* and You Jinhong (2019). Estimation and Model Identification of Locally Stationary Varying-Coefficient Additive Models, Journal of the American Statistical Association, 114, 1191-1204.
15.Hu Lixia, Huang Tao* and You Jinhong (2019). Two-step Estimation of Time-varying Additive Model for Locally Stationary Time Series, Computational Statistics and Data Analysis, 130, 94-110.
16.Bai Fangfang Bai, Chen Xuerong, Chen Yan and Huang Tao* (2019). A general quantile residual life model for right-censored length-biased data, Scandinavian Journal of Statistics, 46，1191-1205.
17.Xu, P., Peng H. and Huang, Tao* (2018). Unsupervised learning of mixture regression models for longitudinal data, Computational Statistics and Data Analysis, 125, 44-56.
18.Zhao, L, Peng H. and Huang, Tao* (2018). Variance Estimation for Semiparametric Regression Models by Local Averaging, Test, 27(2):453-476
19.Huang, Tao. and Li, Jialiang (2018). Semiparametric Model Average Prediction in Panel Data Analysis, Journal of Nonparametric Statistics, 30(1):1-20
20.M. Cheng, T. Huang, P. Liu, and H. Peng (2018). Bias Reduction for Nonparametric and Semiparametric Regression Models, Statistica Sinica, 28, 2749-2770.
21.Pei Youquan, Huang Tao* and You Jinhong* (2018). Nonparametric model for panel data with fixed effects and locally stationary regressors, Journal of Econometrics, 202(2), 286-305.
22.Liu Zhongqiang, Ban Tao, Huang Tao* (2017). General Covariate-Adaptive Randomization Targeting Unequal Allocation Ratio, Journal of Statistical Planning and Inference, 191, 68-80.
23.Huang Tao, Peng Heng and Zhang Kun (2017). Model selection for finite Gaussian mixture models, Statistica Sinica, 27, 147-169
24.Huang Tao，Liu Zhongqiang and Hu Feifang (2013). Longitudinal covariate-adjusted response-adaptive randomization designs. Journal of Statistical Planning and Inference, 143, 1816-1827.
Book Chapters:
a)Zhu Hongjian, Huang Tao and Hyun Seung Won (2015). Adaptive randomization designs for personalized medicine, Modern Adaptive Randomized Clinical Trials: Statistical, Operational, and Regulatory Aspects, Chapter 14, CRC Press.
b)Huang Tao, Zhu Hongjian (2015). Longitudinal covariate-adjusted response-adaptive randomization: impact of delayed responses and missing data, Modern Adaptive Randomized Clinical Trials: Statistical, Operational, and Regulatory Aspects, Chapter 15, CRC Press.
