范协铨，男，1982年12月，理学博士，副教授，硕士生导师。
联系方式
联系电话：13230329633
电子邮件：fanxiequan@neuq.edu.cn
办 公 室：科技楼5090
研究方向
主要研究以下极限理论问题及其在数理统计中的应用：
1. 正态逼近理论；
2. 自正则化极限理论；
3. 偏差不等式；
4. 中偏差和大偏差；
5. 大象随机游动；
教育背景
2002.09-2006.06 湖北大学 数学与应用数学 理学学士；
2006.09-2009.06 北京师范大学 基础数学 理学硕士；
2009.10-2013.08 法国南布列塔尼大学（国家公派） 概率论与数理统计 理学博士；
工作履历
2013.10-2015.09 法国国家信息与自动化研究所和巴黎中央理工大学（现为巴黎萨克雷大学），博士后；
2015.09-2023.02 天津大学, 副教授；
2023.03-今天 东北大学秦皇岛分校, 副教授；
学术兼职
2013年起担任美国数学会Math.Reviews评论员；
2017年起担任全国研究生教育评估监测专家；
2020年8月-2022年8月，受邀担任数学杂志《Mathematics Letters》的编委；
2022年11月-2024年11月，受邀担任数学杂志《World Journal of Mathematics and Statistics》的编委；
2022年起担任德国数学文摘zbMATH Open评论员；
2022年全国本科毕业论文（设计）抽检评审专家；
以下 SCI 杂志审稿人：《Bernoulli》、《Ann. Appl. Probab.》、《Stochastic Process. Appl.》、《Ann. Inst. H. Poincaré Probab. Statist.》、《Sci. China Math.》、《SIAM J. Scientific Computing》、《Electron. J. Probab.》、《J. Statist. Physics》、《J. Math. Anal. Appl.》、《Chaos, Solitons & Fractals》、《Comm. Statist. Theory Methods》、《Algorithmica》、《Statistics》、《Statist. Probab. Lett.》、《Frontiers Math. China》、《AIMS Math.》、《Statistica Neerlandica》、《Filomat》、《Lithuanian Math. J.》、《中国科学》；
河北省燕赵英才；
科研情况
【在研项目】
1. 相依随机变量的自正则化极限理论及其应用,国家自然科学基金面上,主持者,2024.01-2027.12.
【结题项目】
1. 基于重稳定过程的金融模型,法国国家信息与自动化研究所,主持, 2013.10-2015.08；
2. 依时随机环境中的实值分枝随机游动的极限定理,国家青年科学基金,第二参与者,2016.1-2018.12；
3. 鞅的Cramer型大偏差展式及其应用,国家青年科学基金,主持者, 2017.01-2019.12；
4. 关于鞅的Berry-Esseen界,天津大学北洋学者,主持者,2018.01-2019.12；
5. 分枝随机游动的极限理论,国家自然科学基金面上,第一参与者, 2020.1-2023.12.
奖励与荣誉
1. 天津市数学会“青年学术奖一等奖”；
2. 天津大学“北洋学者⁎青年骨干教师”；
学术成果
近年来，在本方向权威杂志《Bernoulli》、 《Stochastic Process. Appl.》、 《Ann. I.H.P. Probab. Statist.》、《Sci. China Math.》等国内外学术杂志上发表SCI检索论文近40篇。
【代表性学术论文】
[1] Fan, X., Grama, I. and Liu, Q., 2012. Hoeffding's inequality for supermartingales, Stochastic Process. Appl. 122, 3545--3559.
[2] Fan, X., Grama, I. and Liu, Q., 2013. Cramer large deviation expansions for martingales under Bernstein's condition, Stochastic Process. Appl. 123, 3919--3942.
[3] Dedecker, J. and Fan, X., 2015. Deviation inequalities for separately Lipschitz functionals of iterated random functions, Stochastic Process. Appl. 125, 60--90.
[4] Fan, X., Grama, I. and Liu, Q., 2015. Exponential inequalities for martingales with applications. Electron. J. Probab. 20, no. 1, 1--22.
[5] Fan, X., Grama, I. and Liu, Q., 2015. Sharp large deviation results for sums of independent random variables. Sci. China Math. 58, 1939--1958.
[6] Fan, X., Grama, I. and Liu, Q., 2017. Deviation inequalities for martingales with applications. J. Math. Anal. Appl. 448(1): 538--566.
[7] Fan, X., 2017. Sharp large deviation results for sums of bounded from above random variables. Sci. China Math. 60(12), 2465--2480.
[8] Fan, X., Shao, Q.M. 2018. Berry-Esseen bounds for self-normalized martingales. Comm. Math. Statist. 6(1): 13--27.
[9] Fan, X. 2019. Exact rates of convergence in some martingale central limit theorems. J. Math. Anal. Appl. 469(2). 1028--1044.
[10] Fan, X., Grama, I., Liu, Q., Shao, Q.M. 2019. Self-normalized Cramer type moderate deviations for martingales. Bernoulli 25(4A), 2793--2823.
[11] Alquier P., Doukhan P., Fan X. 2019. Exponential inequalities for nonstationary Markov chains. Dependence Modeling 7(1), 150--168.
[12] Dedecker, J., Doukhan P., Fan X. 2019. Deviation inequalities for separately Lipschitz functionals of composition of random functions. J. Math. Anal. Appl. 479(2), 1549--1568.
[13] El Machkouri M., Fan X., Reding L. 2020. On the Nadaraya-Watson kernel regression estimator for irregularly spaced spatial data. J. Stat. Plann. Infer. 205, 92--114.
[14] Fan, X. 2020. Cramer type moderate deviations for self-normalized $\psi$-mixing sequences. J. Math. Anal. Appl. 486(2): 123902.
[15] Fan, X., Grama, I., Liu, Q., Shao, Q.M. 2020. Self-normalized Cramer type moderate deviations for stationary sequences and applications. Stochastic Process. Appl. 130(8): 5124--5148.
[16] Fan, X., Hu, H., Liu, Q. 2020. Uniform Cramer moderate deviations and Berry-Esseen bounds for a supercritical branching process in a random environment. Front. Math. China 15(5): 891--914
[17] Fan, X., Hu, H., Ma, X. 2021. Cramer moderate deviations for the elephant random walk. J. Stat. Mech. Theory E. 2021: 23402.
[18] Ma, X., El Machkouri M., Fan, X. 2022. On Wasserstein-1 distance in the central limit theorem for elephant random walk. J. Math. Phys. 63(1): 013301.
[19] Fan, X., Alquier, P., Doukhan, P. 2022. Deviation inequalities for stochastic approximation by averaging. Stochastic Process. Appl. 152(1), 452--485
[20] Dedecker, J., Fan, X., Hu, H., Merlevede, F., 2023. Rates of convergence in the central limit theorem for the elephant random walk with random step sizes. J. Statist. Phys. 190(10), 154.
[21] Fan, X., Shao, Q.M. 2024+. Cramér's moderate deviations for martingales with applications. Ann. Inst. H. Poincaré Probab. Statist., to appear.
学术报告
【1】 Nanning, China, 28 Jun - 2 July, 2017. IMS-China International Conference on Statistics and Probability. Invited talk of 30 min.: Self-normalized Cramer type moderate deviations for martingales.
【2】 Beidaihe, China, 18-21 July, 2017. 津冀数学会联合学术年会. Invited talk of 30 min.: Self-normalized Cramer type moderate deviations for martingales.
【3】 Changchun, China, 23-27 Sept., 2017. 2nd Sino-Russian Seminar on Asymptotic Methods in Probability Theory and Mathematical Statistics. Talk of 30 min.: Self-normalized Cramer type moderate deviations for martingales.
【4】Singapore, 26-29 July, 2018. The 5th Institute of Mathematical Statistics Asia Pacific Rim Meeting. Invited talk of 30 min.: Self-normalized Cramer type moderate deviations for martingales.
【5】Taipei, China, 4-10 August, 2018. The 12th AIMS Conference on Dynamical Systems, Differential Equations and Applications. Invited talk of 30 min.: Self-normalized Cramer type moderate deviations for martingales.
【6】Paris, France, 3 June, 2019. 4th Nonstationary Day. Invited talk of 20 min.: Concentration inequalities for time non homogeneous Markov chains.
【7】Tianjin, China, 26 Oct., 2019. Workshop on probability between BNU and TJU. Talk of 30 min.: Exact rates of convergence in some martingale central limit theorems.
【8】 Guiyang, China, 9-11 July, 2021. 第十二届全国概率极限理论和统计大样本理论学术研讨会}. Invited talk of 45 min.: self-normalized Cramer type moderate deviations for martingales with applications.
【9】 Paris, 15-17 Sept., 2021. Ecodep Conference 2021. Invited talk of 45 min.(on line): Self-normalized Cramér moderate deviations for a supercritical Galton-Watson process.
【10】Wuhan, China, 27 June-1 July, 2022. 42nd conference on Stochastic Processes and their Applications. Talk of 25 min.: Deviation inequalities for stochastic approximation by averaging.
【11】Weihai, China, 27-31 Aug., 2022. Annual conference on probability. Talk of 25 min.: Self-normalized Cramer type moderate deviations for martingales with applications.
【12】Chengdu, China, 30 June-3 July, 2023. 2023 ICSA China Conference. Talk of 25 min.: Self-normalized Cramer type moderate deviations for martingales with applications.
【13】 Beijing, China, 10 -13 July, 2023. Join Conference on Statistics and Data Science in China. Talk of 25 min.: Cramer's moderate deviations for martingales with applications.
【14】 Fuzhou, China, 20 -25 Aug., 2023. 第八届全国概率论年会. Talk of 25 min.: Cramer's moderate deviations for martingales with applications.
【15】 Qinhuangdao, China, 22 Sept., 2023. 河北省工业与应用数学学会2023年会. Talk of 25 min.: Cramer's moderate deviations for martingales with applications.
讲授课程情况
《概率论》
《数理统计》
《生物统计学》
《高等数学》
《线性代数》
指导研究生情况
已毕业硕士研究5人，获1人次国家奖学金，1人次天津大学三好学生，4人次一等学业奖学金，多人次二等学业奖学金。
