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Shengli LIANG
Post-doctoral  
Research interest: 分枝过程,随机游动,分枝随机游动,随机环境模型,极限理论

教育背景:

2018.09-2023.06  北京师范大学  数学科学学院  概率论与数理统计专业  理学博士

主修课程:概率论基础、随机过程、马氏过程、分枝过程、随机微分方程、大偏差理论及其应用、

机环境中的随机游动

2014.09-2018.06  江西财经大学  统计学院      统计学专业            经济学学士 

主修课程:数学分析、高等代数、常微分方程、实变函数、泛函分析、概率论与数理统计、

多元统计分析

学术成果:

[1] Wenming Hong, Shengli Liang, Xiaoyue Zhang. (2022): Conditional L1-Convergence for the Martingale of a Critical Branching Process in Random Environment. Proceedings of the Steklov Institute of Mathematics316(1): 184-194.

[2] Wenming Hong, Shengli Liang. (2022): Random walks in time-inhomogeneous random environment conditioned to stay positive. Available at arXiv:2211.15017. Submitted.

[3] Wenming Hong, Shengli Liang. (2023): Conditional central limit theorem for critical branching random walk. Submitted.

[4] Wenming Hong, Shengli Liang. (2023): Convergence of the derivative martingale for the branching

 

random walk in time random environment. Submitted.