个人简介：范国良，男，汉族，博士，上海海事大学统计学教授，博士生导师，美国《Mathematical Review》评论员，中国现场统计研究会大数据统计分会常务理事，中国现场统计研究会生存分析分会理事，中国现场统计研究会资源与环境统计分会理事，中国工程概率统计学会理事，中国商业统计学会理事，教育部学位委员会学位论文评审专家，国家社会科学基金评审和成果鉴定专家。
研究方向：非线性关联分析、高维数据分析、充分降维、非参和半参数方法等。主持国家社科基金及国家自科基金共3项，以及教育部人文社科基金、上海市自然科学基金等省部级项目7项；在《中国科学：数学》、Science China Mathematics、Statistica Sinica、Statistics and Computing、Journal of Multivariate Analysis、Computational Statistics & Data Analysis、Statistical Papers、Electronic Journal of Statistics、Journal of Statistical Planning and Inference等国内外重要学术刊物上发表学术论文六十余篇。
曾获上海市教学成果奖二等奖（排名第一）、安徽省科学技术奖（排名第一）、上海海事大学教学成果奖特等奖（排名第一）以及上海海事大学优秀研究生学位论文指导教师等，所授《计量经济学》课程获国家级一流课程以及上海市高校一流本科课程。
性别：男
出生年月：1981.12
职务：教授
博硕导：博士生导师
电子邮箱：glfan@shmtu.edu.cn
联系电话：021-38282432
l2019年，博士后出站于中国人民大学统计与大数据研究院，导师：朱利平教授
l2013年，访问香港浸会大学数学系，导师：朱力行教授
l2010年，博士毕业于同济大学数学科学学院，数理统计方向，导师：梁汉营教授
l2007年，硕士毕业于合肥工业大学数学学院，数理统计方向，导师：凌能祥教授
[1] Xilin Zhang, Hongxia Xu, Guoliang Fan*, Liping Zhu.Conditional independence test in factor models via projection correlation. Computational Statistics & Data Analysis, 2026, 218, 108339. (Corresponding author)
[2] Xilin Zhang,Guoliang Fan*, Liping Zhu.Distance correlation in the presence of measurement errors. Journal of Multivariate Analysis, 2026, 211, 105518.(Corresponding author)
[3] Feng Luo, Hongxia Xu, Guoiang Fan*, Liping Zhu. Ultra-high dimensional semiparametric dynamic high-order spatial autoregressive models. Journal of Multivariate Analysis,2026, 211,105516.(Corresponding author)
[4] TianqiSong, YishiWang, ChunchengWang, GuoliangFan. Modelling intra-host competition and drug treatment in malaria parasites.Nonlinear Dynamics, 2026, 114(1), 54.
[5] Feng Luo, Guoiang Fan*. Statistical inference for partially linear varying coefficient autoregressive models. Communications in Statistics – Theory and Methods, 2025, 54(21), 6761-6778. (Corresponding author)
[6] Chengxin Wu, Nengxiang Ling, Philippe Vieu, Guoliang Fan. Composite quantile estimation in partially functional linear regression model with randomly censored responses. TEST,2025, 34:28–47.
[7] Guoliang Fan, Xilin Zhang, Liping Zhu. Independence test via mutual information in the presence of measurement errors. Statistics and Computing, 2024, 34, 192.
[8] Xilin Zhang, Guoliang Fan, Hongxia Xu. Empirical likelihood inference for time-varying coefficient autoregressive models. Random Matrices: Theory and Application,2024, 13(4), 2450015.
[9] Hongxia Xu, Guoliang Fan*, Hanying Liang. Quantile regression for varying-coefficient partially nonlinear models with randomly truncated data. Statistical Papers, 2024, 65, 2567–2604.(Corresponding author)
[10] Yuye Zou, Guoliang Fan*, Riquan Zhang. Composite quantile regression for heteroscedastic partially linear varying-coefficient models with missing censoring indicators. Journal of Statistical Computation and Simulation, 2023, 93(3), 341-365.(Corresponding author)
[11] Cuijuan Kong, Hanying Liang, Guoliang Fan. Local likelihood of quantile difference under left-truncated, right-censored and dependent assumptions. Statistics, 2023, 57, 71-93.
[12] Guoliang Fan, Liping Zhu. Sufficient dimension reduction in the presence of controlling variables. Science China Mathematics, 2022, 65(9), 1975-1996.
[13] Hongxia Xu, Guoliang Fan*, Jinchang Li. Single-index quantile regression with left truncated data.Journal of Systems Science and Complexity, 2022, 35, 1963-1987.(Corresponding author)
[14] Yuye Zou, Chengxin Wu, Guoliang Fan, Ri-Quan Zhang. Estimation for a Hybrid model of functional and linear measurement errors regression with missing response. Statistics, 2022, 56, 271-296.
[15] Guoliang Fan, Lulu Wang, Hongxia Xu. Weighted empirical likelihood for heteroscedastic varying coefficient partially non-linear models with missing data. Stat, 2021, 10(1), e353.
[16] Yuye Zou, Guoliang Fan*, Riquan Zhang. Integrated square error of hazard rate estimation for survival data with missing censoring indicators. Journal of Systems Science and Complexity, 2021, 34, 735-758.(Corresponding author)
[17] Yuye Zou, Guoliang Fan*, Riquan Zhang. Empirical likelihood and variable selection for partially linear single-index EV models with missing censoring indicators. Journal of the Korean Statistical Society, 2021, 50, 134-162.(Corresponding author)
[18] Yuye Zou, Guoliang Fan*, Riquan Zhang. Quantile regression and variable selection for partially linear single-index models with missing censoring indicators. Journal of Statistical Planning and Inference, 2020, 204, 80-95.(Corresponding author)
[19] Bangqiang He, Xingjian Hong, Guoliang Fan. Penalized empirical likelihood for partially linear errors-in-variables panel data models with fixed effects. Statistical Papers, 2020, 61, 2351-2381.
[20] Zhiqiang Jiang, Zhensheng Huang, Guoliang Fan. Empirical likelihood for high-dimensional partially functional linear model. Random Matrices: Theory and Application,2020, 9(4), 2050017.
[21] Guoliang Fan, Hongxia Xu, Hanying Liang. Dimension reduction estimation for central mean subspace with missing multivariate response. Journal of Multivariate Analysis, 2019, 174,104542.
[22] Guoliang Fan, Liping Zhu, Shujie Ma. Nonlinear interaction detection through model-based sufficient dimension reduction. Statistica Sinica, 2019, 29,917-937.
[23] Guoliang Fan, Hanying Liang, Lixing Zhu. Penalized profile least squares-based statistical inference for varying coefficient partially linear errors-in-variables models. Science China Mathematics, 2018, 61(9), 1677-1694.
[24] BangqiangHe, XingjianHong, Guoliang Fan. Block empirical likelihood for partially linear panel data models with fixed effects. Statistics and Probability Letters, 2017,123, 128-138.
[25] Hongxia Xu, Guoliang Fan, Hanying Liang. Hypothesis test on response mean with inequality constraints under data missing when covariables are present. Statistical Papers, 2017,58, 53–75.
[26] BangqiangHe, XingjianHong, Guoliang Fan. Empirical likelihood for semi-varying coefficient models for panel data with fixed effects.Journal of the Korean Statistical Society, 2016, 45, 395-408.
[27] Guoliang Fan, Hanying Liang, Yu Shen. Penalized empirical likelihood for high-dimensional partially linear varying coefficient model with measurement errors. Journal of Multivariate Analysis, 2016, 147, 183-201.
[28] Guoliang Fan, Hongxia Xu, Zhensheng Huang. Empirical likelihood for semivarying coefficient model with measurement error in the nonparametric part. Advances in Statistical Analysis, 2016, 100, 21-41.
[29] Jiangfeng Wang, WeiminMa, Guoliang Fan, LiminWen. Local linear quantile regression with truncated and dependent data.Statistics and Probability Letters, 2015, 96, 232-240.
[30] Jiangfeng Wang, Hanying Liang, Guoliang Fan. Local polynomial quasi-likelihood regression with dependent truncated data. Statistics, 2013,47(4), 744-761.
[31] Guoliang Fan,ZhenshengHuang. Empirical likelihood for semiparametric varying-coefficient heteroscedastic partially linear errors-in-variables models. Communications in Statistics - Theory and Methods, 2013, 42(13), 2437-2450.
[32] Guoliang Fan, Hanying Liang. Empirical likelihood for longitudinal partially linear model with 
-mixing errors. Journal of Systems Science and Complexity, 2013,26(2), 232-248.
[33] Guoliang Fan*, Hanying Liang, Jiangfeng Wang. Statistical inference for partially time-varying coefficient errors-in-variables models. Journal of Statistical Planning and Inference, 2013, 143(3), 505-519.
[34] Guoliang Fan*, Hanying Liang, Jiangfeng Wang. Empirical likelihood for heteroscedastic partially linear errors-in-variables model with -mixing errors. Statistical Papers, 2013, 54(1), 85-112. (Corresponding author)
[35] 王江峰，梁汉营，范国良. 左截断相依数据下非参数回归的局部M估计. 中国科学:数学, 2012, 42(10), 995-1015.
[36] Guoliang Fan*, Hongxia Xu, Hanying Liang. Empirical likelihood inference for partially time-varying coefficient errors-in-variables models. Electronic Journal of Statistics, 2012, 6, 1040-1058. (Corresponding author)
[37] Guoliang Fan*, Hanying Liang, Zhensheng Huang. Empirical likelihood for partially time-varying coefficient models with dependent observations. Journal of Nonparametric Statistics, 2012, 24(1), 71-84.(Corresponding author)
[38] Guoliang Fan*, Hanying Liang, Jiangfeng Wang. Empirical likelihood for a heteroscedastic partial linear errors-in-variables model. Communications in Statistics - Theory and Methods, 2012, 41(1), 108-127.(Corresponding author)
[39] Jiangfeng Wang, Hanying Liang, Guoliang Fan. Asymptotic properties of conditional quantile estimator under left truncated and -mixing conditions. Communications in Statistics - Theory and Methods, 2011, 40(14), 2462-2486.
[40] Guoliang Fan*, Hanying Liang, Hongxia Xu. Empirical likelihood for a heteroscedastic partial linear model. Communications in Statistics - Theory and Methods, 2011,40(8), 1396-1417.(Corresponding author)
[41] Guoliang Fan*, Hanying Liang. Empirical likelihood inference for semiparametric model with linear process errors. Journal of the Korean Statistical Society, 2010, 39(1), 55-65.(Corresponding author)
[42] Guoliang Fan*, Hanying Liang, Jiangfeng Wang, Hongxia Xu. Asymptotic properties for LS estimators in EV regression model with dependent errors. Advances in Statistical Analysis, 2010, 94(1), 89-103.(Corresponding author)
[43] Hanying Liang, Guoliang Fan. Berry–Esseen type bounds of estimators in a semiparametric model with linear process errors. Journal of Multivariate Analysis, 2009, 100(1), 1-15.
获上海市教学成果奖二等奖（排名第一）、安徽省科学技术奖（排名第一）、上海海事大学教学成果奖特等奖（排名第一）、上海市海事大学优秀研究生导师以及上海海事大学优秀研究生学位论文指导教师等，所授《计量经济学》课程获国家级一流课程以及上海市高校一流本科课程。
指导博士/硕士研究生获国家留学基金（CSC）项目资助、国家奖学金、上海市优秀毕业生、省级品学兼优毕业研究生等荣誉称号；在学科竞赛方面，指导多支团队荣获全国大学生数学建模竞赛国家级奖项，获“正大杯”全国大学生市场调查与分析大赛研究生组总决赛二等奖，在长三角研究生学术论坛中获特等奖、一等奖及二等奖，所指导学生获评上海海事大学优秀毕业论文，并成功立项国家级及上海市级大学生创新创业训练计划项目。
主讲本科生课程：统计学、计量经济学
主讲研究生课程：高等数理统计、统计分析与软件应用、论文写作与指导
