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數(shù)字引領(lǐng)時(shí)代  智能開(kāi)創(chuàng)未來(lái)

范燕(Fan Yan)

教授電話(huà):37784994
 電子郵件:[email protected]

教育背景

博士(統(tǒng)計(jì)學(xué)),2014,中國(guó)人民大學(xué)
聯(lián)合培養(yǎng)博士,2013,范德堡大學(xué)經(jīng)濟(jì)系
學(xué)士(數(shù)學(xué)與應(yīng)用數(shù)學(xué)),2008,河北師范大學(xué)

研究興趣

穩(wěn)健估計(jì)、分位數(shù)回歸、半?yún)⒅笜?biāo)模型、大數(shù)據(jù)分析

主講課程

《應(yīng)用多元統(tǒng)計(jì)分析》、《統(tǒng)計(jì)學(xué)》、《應(yīng)用隨機(jī)過(guò)程》、《金融統(tǒng)計(jì)》、《抽樣技術(shù)與應(yīng)用》

簡(jiǎn)介

范燕,教授,碩士生導(dǎo)師。香港浸會(huì)大學(xué)和美國(guó)范德堡大學(xué)訪(fǎng)問(wèn)學(xué)者。2014年7月至今在上海對(duì)外經(jīng)貿(mào)大學(xué)統(tǒng)計(jì)與數(shù)據(jù)科學(xué)學(xué)院任教,主要研究半?yún)?shù)指標(biāo)模型、穩(wěn)健估計(jì)、高維統(tǒng)計(jì)分析、以及大數(shù)據(jù)統(tǒng)計(jì)分析等。在《Journal of the Royal Statistical Society, Series B》、《Journal of Business & Economic Statistics》等國(guó)內(nèi)外著名學(xué)術(shù)期刊發(fā)表SCI、SSCI論文十余篇。主持國(guó)家自然科學(xué)基金面上項(xiàng)目2項(xiàng),青年基金項(xiàng)目1項(xiàng)、上海市自然科學(xué)基金面上項(xiàng)目1項(xiàng)。曾獲得學(xué)??蒲袠?biāo)兵稱(chēng)號(hào)。

 

部分發(fā)表論文

  1. Liu, Y. and Fan, Y.* (2023). Biased-sample empirical likelihood weighting for missing data problems: an alternative to inverse probability weighting. Journal of the Royal Statistical Society, Series B (Statistical Methodology).  85, 67-83.

  2. Fan, Y., Liu, Y. and Zhu, L. X.  (2021). Optimal subsampling for linear quantile regression models.   Canadian Journal of Statistics.  49(4), 1039-1057.

  3. Liu, G. F., Fan, Y. *, Liu, Y., and Liu, Y. K.  (2021).  Semi-parametric homogeneity test and sample size calculation for a two-sample problem under an inequality constraint.  Journal of Statistical Planning and Inference. 214, 13-24.

  4. Li, M. K., Fan, Y., Liu, Y. and Liu, Y. (2021). Diagnostic test meta-analysis by empirical likelihood under a Copas-like selection model. Metrika. 84, 927-947.

  5. Liu, Y., Qin, J., Fan, Y., Zhou, Y., Follmann, D. A. and Huang, C. Y. (2020). Estimation of Infection Density and Epidemic Size of COVID-19 Using the Back-Calculation. Health Information Science and Systems.  8:28

  6. Liu, Y., Liu, Y., Fan, Y., and Geng, H. (2018). Likelihood ratio condence interval for the abundance under binomial detectability models. Metrika. 81(5), 549-568.

  7. Fan, Y., H?rdle, W. K., Wang, W. N. and Zhu, L. X. (2018). Single-index-based CoVaR with very high-dimensional covariates. Journal of Business and Economic Statistics. 36(2), 212-226.   

  8. Fan, Y., Gai, Y., and Zhu, L. (2016). Asymptotics of Dantzig Selector for a General Single-Index Model. Journal of Systems Science and Complexity, 29, 1123-1144.   

  9. Fan, Y. and Liu, Y. (2016). Evaluating the Relative Merit of Competing Models Based on Empirical Likelihood Ratio Test. Journal of Applied Statistics, 43(14), 2595-2607.

  10. Fan, Y., Tang, M. L. and Tian, M. Z.  (2016). Composite Quantile Regression for the Single-Index Varying Coefficient Model. Communication in Statistics- Theory and Methods  45(10):3027-3047.

  11. Fan, Y. and Zhu, L. X (2013). Estimation of General Semiparametric Quantile Regression. Journal of Statistical Planning and Inference, 143, 896-910.

  12. Tian, M. Z., Luo, Y. X., Su, Y. N., Fan, Y. and Han, J. L. (2012). Lack-of-Fit Tests Based on Weighted Ratio of Residuals and Variables. J Syst Sci Complex, 25, 1202 - 1214.

 

科研項(xiàng)目

  1. 《大數(shù)據(jù)和不完整大數(shù)據(jù)下最優(yōu)子抽樣技術(shù)和半?yún)?shù)推斷理論》,國(guó)家自然科學(xué)基金面上基金項(xiàng)目,2024.01-2027.12,項(xiàng)目主持人,在研中。

  2. 《面向大數(shù)據(jù)的半?yún)?shù)指標(biāo)模型的統(tǒng)計(jì)理論研究》,國(guó)家自然科學(xué)基金面上基金項(xiàng)目,2020.01-2023.12,項(xiàng)目主持人,在研中。

  3. 《大數(shù)據(jù)背景下半?yún)?shù)指標(biāo)模型的統(tǒng)計(jì)推斷》,上海市自然科學(xué)基金面上項(xiàng)目,2019.07-2022.06,項(xiàng)目主持人,已結(jié)項(xiàng)。

  4. 《借助輔助信息的半?yún)?shù)指標(biāo)模型統(tǒng)計(jì)推斷及應(yīng)用》,國(guó)家自然科學(xué)基金青年基金項(xiàng)目,2016.01-2018.12, 項(xiàng)目主持人, 已結(jié)項(xiàng)。

  5. 上海高校青年教師培養(yǎng)資助計(jì)劃,2015-2016,項(xiàng)目主持人,已結(jié)項(xiàng)。