李英华 

博士、教授、硕士生导师

非参数统计，经验似然方法，时间序列分析

1. 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》

2. 研究生: 《应用随机过程》、《极限理论》、《应用时间序列分析》

1. 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；

2. 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；

3. 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；

4. 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；

5. 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.

1. Yinghua Li, Yongsong Qin, Empirical likelihood for spatial dynamic panel data models, Journal of the Korean Statistical Society, (2022)51: 500–525；

2. 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；

3. 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;

4. Yinghua Li, Yongsong Qin, Empirical likelihood for moving average models, Communications in Statistics-Theory and Methods, 2020, 50(15): 3661-3676；

5. 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;

6. 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;

7. YinghuaLi, YongsongQin, QingzhuLei. Empirical likelihood for quantiles under associated samples, Acta Mathematicae, Applicatae Sinica-English Series, 2015, 31 (1): 71-80;

8. YinghuaLi, YongsongQin, QingzhuLei. Confidence intervals for probability density functions under asscociated samples, J. of Statistical Planning and Inference, 2012, 142: 1516-1524;

9. YinghuaLi, YongsongQin, QingzhuLei. Confidence regions for regression coefficients in linear models under associated errors, Chinese Journal of Engineering Mathematics, 2015, 32(2): 276-290;

10. YinghuaLi, Joint asymptotic distributions of kernel estimators of a finite number of quantiles under associated samples, Mathematica Applicata, 2014, 7(2): 266-273;

11. 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;

12. 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;

13. YongsongQin, YinghuaLi. Empirical likelihood for linear models under negatively associated errors, J. of Multivariate Analysis, 2011, 102(2011): 153-163;

14. YongsongQin, YinghuaLi, QingzhuLei. Empirical likelihood for probability density functions under negatively associated samples, J. of Statistical Planning and Inference, 2011,141:373-381;

15. YongsongQin, YinghuaLi , WeizhenYang, QingzhuLei. Confidence intervals for nonparametric regression functions under negatively associated errors, Journal of Nonparametric Statistics, 2011, 23(3): 645-659;

16. 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.

1. 2022年，入选广西高等学校千名中青年骨干教师培育计划；

2. 2022年，广西师范大学第二批“独秀青年学者”培养人选；

3. 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；

4. 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；

5. 2015年，广西师范大学第四届“教学新秀”称号；

6. 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。

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