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当前位置: 首 页 - 师资队伍 - 教职员工 - 概率统计与数据科学系 - 教授 - 正文

张勇

基本信息
  • 性别:男

    职称:教授

    所在系别:概率统计与数据科学系

    是否博导:是

联系方式
  • 办公地点:吉林大学中心校区,伍卓群楼517

    办公电话:0431-85166214

    电子邮箱:zyong2661@jlu.edu.cn

研究方向
  • 概率极限理论、高维数据分析、随机偏微分方程

讲授课程
  • 本科生课程:概率论与数理统计、应用随机过程、时间序列分析、抽样调查与数据分析、线性模型引论
    研究生课程:现代概率论基础、随机过程、概率统计极限理论

教育经历
  • 2006.09 - 2009.06 吉林大学数学学院 博士研究生
    2003.09 - 2006.06 吉林大学数学学院 硕士研究生
    1999.09 - 2003.06 吉林大学数学学院 本科

工作经历
  • 2009.09 - 2012.09 吉林大学数学学院 讲师
    2012.09 - 2016.09 吉林大学数学学院 副教授
    2013.01 - 2014.01 美国田纳西大学 访问学者
    2016.09 - 至今 吉林大学数学学院 教授

科研项目
  • 1. 国家自然科学基金面上基金,2018.01 - 2021.12,负责人
    2. 国家自然科学基金青年基金,2012.01 - 2014.12,负责人

代表性成果
  • [1] Zhang Yong, Yang Xiaoyun. Precise asymptotics in the law of the iterated logarithm and the complete convergence for uniform empirical process. Statistics and Probability Letters, 2008, 78(9),1051-1055.
    [2] Zhang Yong, Yang Xiaoyun, Dong Zhishan. A general law of precise asymptotics for the complete moment convergence. Chinese Annals of Mathematics Series B, 2009, 30(1), 77-90.
    [3] Zhang Yong, Yang Xiaoyun, Dong Zhishan. An almost sure central limit theorem for products of sums of partial sums under association。Journal of Mathematical Analysis and Applications, 2009, 355(2),708-716.
    [4] Zhang Yong, Yang Xiaoyun, Dong Zhishan. A general law of precise asymptotics for products of sums under dependence。Acta Mathematica Sinica, English Series, 2010, 26(1), 107-116.
    [5] Zhang Yong, Yang Xiaoyun. Limit theory for random coefficient first-order autoregressive process. Communications in Statistics-Theory and Methods, 2010,39(11), 1922-1931.
    [6] Zhao Zhiwen, Wang Dehui, Zhang Yong. Limit theory for random coefficient first-order autoregressive process under martingale difference error sequence. Journal of Computational and Applied Mathematics, 2011, 235, 2515-2522.
    [7] Zhang Yong, Yang Xiaoyun. An almost sure central limit theorem for self-normalized products of sums of i.i.d. random variables. Journal of Mathematical Analysis and Applications, 2011,376(1), 29-41.
    [8] Zhang Yong, Yang Xiaoyun, Dong Zhishan, Wang Dehui. The limit theorem for dependent random variables with applications to autoregression models. Journal of Systems Science and Complexity, 2011, 24(3), 565-579.
    [9] Zhang Yong, Yang Xiaoyun. A note on the ASCLT for triangular arrays of random variables with an extension to U-statistics. Acta Mathematica Sinica, English Series, 2012, 28(9), 1907-1916.
    [10] Zhang Yong,Yang Xiaoyun. An almost sure central limit theorem for self-normalized weighted sums. Acta Mathematicae Applicatae, English Series, 2013, 29(1),79-92.
    [11] Zhang Yong, Yang Xiaoyun. Asymptotic distribution for products of sums of linear processes under dependence. Communications in Statistics-Theory and Methods, 2013, 42(13), 2292-2300.
    [12] Zhang Yong. A general result on almost sure central limit theorem forself-normalized sums for mixing sequences. Lithuanian Mathematical Journal, 2013, 53(4), 471-483.
    [13] Zhang Yong. A universal result in almost sure central limit theorem for products of sums of partial sums under mixing sequence. Stochastics, 2016, 88(6), 803-812.
    [14] Zhang Yong. An extension of almost sure central limit theorem for self-normalized products of sums for mixing sequences. Communications in Statistics-Theory and Methods, 2016, 45(22), 6625-6640.
    [15] Zhang Yong. The limit law of the iterated logarithm for linear processes. Statistics and Probability Letters, 2017, 122,147-151.
    [16] Zhang Yong. Further research on limit theorem for for self-normalized sums. Communications in Statistics-Theory and Methods, 2020, 49(2), 385-402.
    [17] Liu Tianze, Zhang Yong. Law of the iterated logarithm for error density estimators in nonlinear autoregressive models. Communications in Statistics-Theory and Methods, 2020, 49(5), 1082-1098.
    [18] Chen Haotian, Zhang Yong. Moderate deviations for the total population arising from a nearly unstable sub-critical Galton-Watson process with immigration. Communications in Statistics-Theory and Methods, 2021, 50(2), 432-445.
    [19] Liu Wei, Zhang Yong. Central limit theorem for linear processes generated by IID random variables under the sub-linear expectation. Applied Mathematics-A Journal of Chinese Universities, 2021, 36(2), 243-255.
    [20] Tang Zhiqiang, Zhang Yong. Limit theorems for linear processes generated by $\rho$-mixing sequence. Communications in Statistics-Theory and Methods, 2021, 50(17), 4081-4095.
    [21] Li Jingyu, Zhang Yong. An almost sure central limit theorem for the stochastic heat equation. Statistics and Probability Letters, 2021, 177, 109149.
    [22] Tang Zhiqiang, Zhang Yong. Complete moment convergence for the linear processes with random coefficients generated by a class of random variables. Communications in Statistics-Theory and Methods, 2022,51(21), 7652-7664.
    [23] Zhao Haozhu, Zhang Yong. The asymptotic distributions of the largest entries of sample correlation matrices under α-mixing assumptions. Acta Mathematica Sinica, English Series, 2022, 38(11), 2039-2056.
    [24] Li Jingyu, ZhangYong. Almost sure central limit theorems for stochastic wave equations. Electronic Communications in Probability, 2023, 28, Paper No 9, 12pp
    [25] Li Jingyu, Zhang Yong. The law of the iterated logarithm for spatial averages of the stochastic heat equation. Acta Mathematica Scientia, 2023,43B(2), 907-918.
    [26] Bai Yansong, Zhang Yong. Moderate deviation principle for likelihood ratio test in multivariate linear regression model. Journal of Multivariate Analysis, 2023, 194, 105139.
    [27] Li Jingyu, ZhangYong. An almost sure central limit theorem for the parabolic Anderson model with delta initial condition. Stochastics, 2023, 95(3), 483-500.
    [28] Bai Yansong, Zhang Yong.The moderate deviation principles of likelihood ratio tests under alternative hypothesis. Random Matrices: Theory and Applications, 2023,12(3), 2350003,21pages.
    [29] Liu Wei, Zhang Yong. Large deviation principle for linear processes generated by real stationary sequences under the sub-linear expectation. Communications in Statistics-Theory and Methods, 2023, 52(16),5727-5741.
    [30] Guo Shuang, Zhang Yong. Central limit theorem for linear processes generated by m-dependent random variables under the sub-linear expectation. Communications in Statistics-Theory and Methods, 2023, 52(18),6407-6419.
    [31] Yu Haichao, Zhang Yong. Law of the logarithm and law of the iterated logarithm for a class of random variables with non-identical distributions. Communications in Statistics-Theory and Methods, 2023, 52(22), 8169-8183.
    [32] Tang Zhiqiang, Zhang Yong, Liu Wei. Limit distribution for products of sums of partial sums of linear processes generated by NSD sequence. Communications in Statistics-Theory and Methods, 2024, 53(4), 1535-1545.
    [33] Bai Yansong, Zhang Yong, Liu Congmei, Wang Zhiming. Moderate deviation principle for different types of classical likelihood ratio tests. Communications in Statistics-Theory and Methods. 2024, 53(7), 2599-2616.
    [34] Li Jingyu, Zhang Yong, Zhang Wanying, Bai Yansong. Almost sure central limit theorem for the parabolic Anderson model with Neumann/Dirichlet/periodic boundaryconditions. Lithuanian Mathematical Journal. 2024,64(3): 332-340.
    [35] Zhang Haibin, Zhang Yong, Bai Yansong.Limiting distributions of largest entries of sample covariance matrices from 1-dependent normal populations. ALEA Latin American Journal of Probability and Mathematical Statistics. 2024, 21,1309-1331.
    [36] Ding Xue, Zhang Yong. Chover’s law of the iterated logarithm for weighted sums under sub-linear expectations. Communications in Statistics-Theory and Methods. 2024, 53(17), 6055-6075.
    [37] Li Jingyu, Zhang Yong, A general form for precise asymptotics for the stochastic wave equation. Filomat, 2024, 38(18), 6395-6411.
    [38] Zhao Haozhu, Zhang Yong,. A strong limit theorem of the largest entries of sample correlation matrices under a φ-mixing assumption. Filomat, 2024, 38(19), 6957-6977.
    [39] Bai Yansong, Zhang Yong, Li Jingyu. Moderate deviation principle for the determinant of sample correlation matrix. Stat. 2024, 13(4), Paper No e70009
    [40] Li Jingyu, Zhang Yong. General results on precise asymptotics for the stochastic heat equation. Communications in Statistics-Theory and Methods. 2025, 54(5), 1354-1369.
    [41] Zhang Haibin, Zhang Yong, Ding, Xue. An almost sure limit theorem for the maximum interpoint distance of random vectors in spaces of growing dimension. Communications in Statistics-Theory and Methods. 2025, 54(12), 3743–3760.
    [42] Ding, Xue, Zhang Yong. Precise asymptotics for maxima of partial sums under sub-linear expectation. Communications in Statistics-Theory and Methods.2025,54(16), 5284–5296.
    [43] Liang, Kaiyu, Zhang Yong. Law of the iterated logarithm for error variance estimator in pth-order non linear autoregressive processes. Communications in Statistics-Theory and Methods.2025, 54(17), 5673–5686.
    [44] Li Jingyu ,Guo Shuang, Zhang Wanying, Zhang Yong .On the precise asymptotics for the stochastic heat and wave equations. Journal of Mathematical Physics.2025, 66(7), Paper No. 071513, 13 pp.
    [45] Zhang, Wanying, Zhang Yong, Li Jingyu. Functional central limit theorems for spatial averages of the parabolic Anderson model with delta initial condition in dimension d⩾1. Lithuanian Mathematical Journal. 2025, 65(4), 608–642

奖励与荣誉
  • 1. 2024年-至今,中国现场统计研究会随机矩阵理论与应用分会理事
    2. 2025年-至今,吉林省现场统计研究会理事

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