数学与统计学院教师简介——李英华
发布时间:2019-12-19 浏览次数:6749
李英华
非参数统计,经验似然方法,时间序列分析
本科生:《概率论与数理统计》、《高等数学》、《线性代数》、《常用统计方法》
研究生: 《应用随机过程》、《极限理论》、《应用时间序列分析》
国家自然科学基金地区科学基金项目(12161009), ARMA模型和GARCH模型的经验似然推断,2022/01-2025/12, 在研,主持;
国家自然科学基金青年科学基金项目(11201088), 正相协及缺失数据情形的经验似然推断,2013/01-2015/12, 已结题,主持;
广西自然科学基金面上项目(2022GXNSFAA035556),缺失数据下两类时间序列模型的经验似然推断,2022/04-2025/04,在研,主持;
广西自然科学基金面上项目(2017GXNSFAA198349),复杂数据下广义线性模型的统计推断,2017/09-2020/09,已结题,主持;
广西自然科学基金青年基金项目(2013GXNSFBA019001),相协样本和缺失数据情形两类模型的经验似然推断,2013/04-2016/04,已结题,主持.
Yinghua Li, Yongsong Qin, Empirical likelihood for spatial dynamic panel data models, Journal of the Korean Statistical Society, (2022)51: 500–525;
Yinghua Li, Yongsong Qin, Yuan Li, Empirical likelihood for nonparametric regression models with spatial autoregressive errors, Journal of the Korean Statistical Society, (2021) 50:447-478;
Yinghua Li, Yuan Li, Yongsong Qin, Empirical likelihood for panel data models with spatial errors, Communications in Statistics-Theory and Methods, 2022, 51 (9): 2838-2857;
Yinghua Li, Yongsong Qin, Empirical likelihood for moving average models, Communications in Statistics-Theory and Methods, 2020, 50(15): 3661-3676;
Yinghua Li, Yongsong Qin, Qingzhu Lei, Lifeng Li, Quantiles estimation with auxiliary information under positive associated samples, Acta Mathematica Scientia 2016, 36B(2): 453–468;
YinghuaLi, YuanLi, YongsongQin. M-estimation and quantile estimation in the presence of auxiliary information under strong mixing samples, Chinese Journal of Applied Probability and Statistics, 2018, 34(5): 515~532;
YinghuaLi, YongsongQin, QingzhuLei. Empirical likelihood for quantiles under associated samples, Acta Mathematicae, Applicatae Sinica-English Series, 2015, 31 (1): 71-80;
YinghuaLi, YongsongQin, QingzhuLei. Confidence intervals for probability density functions under asscociated samples, J. of Statistical Planning and Inference, 2012, 142: 1516-1524;
YinghuaLi, YongsongQin, QingzhuLei. Confidence regions for regression coefficients in linear models under associated errors, Chinese Journal of Engineering Mathematics, 2015, 32(2): 276-290;
YinghuaLi, Joint asymptotic distributions of kernel estimators of a finite number of quantiles under associated samples, Mathematica Applicata, 2014, 7(2): 266-273;
YongsongQin, YinghuaLi, QingzhuLei. Joint empirical likelihood confidence regions for a finite number of quantiles under negatively associated samples, Journal of Systems Science and Complexity, 2015, 28(4): 1389-1398;
YongsongQin, YinghuaLi. Estimation for partially linear models with missing responses: the fixed design case, Acta Mathematicae Applicatae Sinica-English Series, 2014, 30(2): 447-472;
YongsongQin, YinghuaLi. Empirical likelihood for linear models under negatively associated errors, J. of Multivariate Analysis, 2011, 102(2011): 153-163;
YongsongQin, YinghuaLi, QingzhuLei. Empirical likelihood for probability density functions under negatively associated samples, J. of Statistical Planning and Inference, 2011,141:373-381;
YongsongQin, YinghuaLi , WeizhenYang, QingzhuLei. Confidence intervals for nonparametric regression functions under negatively associated errors, Journal of Nonparametric Statistics, 2011, 23(3): 645-659;
YongsongQin, YinghuaLi. Empirical likelihood for partially linear models with missing responses: the fixed design case, Communications in Statistics-Theory and Methods, 2011, 40:1849-1865.
2022年,入选广西高等学校千名中青年骨干教师培育计划;
2022年,广西师范大学第二批“独秀青年学者”培养人选;
2017年,荣获第三届全国高校数学微课课程教学设计竞赛华南赛区一等奖;
2013年,第十一届全国统计科研优秀成果奖,省部二等奖,国家统计局,排名第三;
2015年,广西师范大学第四届“教学新秀”称号;
2013年,入选第一批广西师范大学青年骨干教师成长支持计划。
中国现场统计研究会统计交叉科学研究分会理事