一、个人基本情况

刘巧静，女，1981年2月出生，汉族，讲师。主要研究领域为概率论与数理统计，其中包括随机过程统计的大偏差、交互作用粒子系统筹，主要研究成果：非时齐扩散过程似然比检验和参数估计的大偏差；交互作用粒子系统中经验密度、可加泛函的渐近性质等。在 Front. Math. China, J. Statist. Plann. Inference, Statist. Probab. Lett. 等国内外刊物上发表论文8篇。目前主持国家自然科学基金青年项目1项。承担《高等概率论》、《概率论与数理统计》等课程。

二、科研

1、科研项目

国家自然科学基金青年基金项目: 弱非对称交互作用粒子系统的标度极限，2022.1.1-2024.12.31. 主持.

2、代表性论文

(1) Zhao Shoujiang, Liu Qiaojing(刘巧静). Large deviations for parameter estimators of Brownian bridge, Journal of Statistical Planning and Inference, 2012, 142: 695-707. (SCI)

(2) Liu Qiaojing(刘巧静), Zhao Shoujiang. Pointwise and uniform moderate deviations for nonparametric regression function estimator on functional data,Statistics and Probability Letters,2013, 83:1372-1381. (SCI)

(3) Gao Fuqing, Liu Qiaojing(刘巧静). Moderate deviations for estimators under exponentially stochastic differentiability conditions. Front. Math. China, 2018, 13(1): 25-40. (SCI)

(4) Zhao Shoujiang, Liu Qiaojing(刘巧静), ChenTing. On the large deviation principle for maximum likelihood estimator of α-Brownian bridge. Statistics and Probability Letters, 2018, 138: 143-150. (SCI)

(5) Zhao Shoujiang, Liu Qiaojing(刘巧静). A large deviation result for maximum likelihood estimator of non-homogeneous Ornstein–Uhlenbeck processes. Statistics and Probability Letters, 2020,162: 108753. (SCI)

(6) Cuijiazhen, Liu Qiaojing(刘巧静). Cramér-type moderate deviations for the log-likelihood ratio of inhomogeneous Ornstein–Uhlenbeck processes. Statistics and Probability Letters, 2023,192: 109690. (SCI)

三、奖励与荣誉

三峡大学第二届研究生教学成果奖三等奖. 3/4.

联系方式：L1635

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