几类随机过程的极限性质及渐近性分析-自然科学奖.docx

2022 年度安徽省自然科学奖提名项目公示 一、项目名称：几类随机过程的极限性质及渐近性分析 二、提名者：巢湖学院 三、主要发明论文 1、Peng Weicai, et al, 2015. Strong law of large numbers for Markov chains indexed by spherically symmetric trees. Probability in the Engineering and Informational Sciences, 29(3), pp.473-481. 2 、 Peng, W. and Xi, X., 2021. Shannon-McMillan theorem and strong law of large numbers for Markov chains indexed by generalized spherically symmetric trees. Communications in StatisticsTheory and Methods, pp.1-12. 3 、 Peng, W., 2017. Conditional entropy, entropy density, and strong law of large numbers for generalized controlled tree-indexed Markov chains. Communications in Statistics-Theory and Methods, 46(23), pp.11880-11891. 4、Tang, Xufei et al, 2020. The Berry-Esseen bound of a wavelet estimator in non-randomly designed nonparametric regression model based on ANA errors. ESAIM: Probability and Statistics, 24, pp.21-38. 5、Tang, Xufei et al, 2019. Exponential inequalities under sub-linear expectations with applications to strong 几类随机过程的极限性质及渐近性分析 law of large numbers. Filomat, 33(10), pp.2951-2961. 四、主要完成人：彭维才，唐徐飞 五、主要完成单位：巢湖学院 巢湖学院 2022 年 9 月 28 日