360博彩通-大发888卡-老虎机作弊器手机软件

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

許文超(XU Wenchao)

副教授電話(huà):
 電子郵件:[email protected]

教育背景

博士(統(tǒng)計(jì)學(xué)),2019,華東師范大學(xué)
聯(lián)合培養(yǎng)博士,2018,喬治華盛頓大學(xué)
學(xué)士(數(shù)學(xué)與應(yīng)用數(shù)學(xué)),2013,安徽工業(yè)大學(xué)

研究領(lǐng)域

非參數(shù)與半?yún)?shù)統(tǒng)計(jì)、函數(shù)型數(shù)據(jù)分析,模型平均

主講課程

應(yīng)用回歸分析、非參數(shù)統(tǒng)計(jì)、統(tǒng)計(jì)學(xué)、商務(wù)統(tǒng)計(jì)(英)、金融統(tǒng)計(jì)分析、大樣本理論(博士生)

簡(jiǎn)介

2023.8-至今 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
2020.12-2023.8 中國(guó)科學(xué)院數(shù)學(xué)與系統(tǒng)科學(xué)研究院 博士后
2019.9-2020.12 上海立信會(huì)計(jì)金融學(xué)院 講師

 

部分發(fā)表論文

  1. Wenchao Xu, Jicai Liu, Jianjie Guo. Functional sufficient dimension reduction with multivariate responses: a projection averaging method and beyond. Statistics and Computing, 2026, 36: 53.

  2. Wenchao Xu, Xinyu Zhang. From model selection to model averaging: a comparison for nested linear models. Econometric Theory, 2025, 41(5): 1163-1195.

  3. 許文超、張日權(quán)、梁華. 兩樣本廣義函數(shù)型線(xiàn)性模型的估計(jì)和半?yún)?shù)有效性. 中國(guó)科學(xué):數(shù)學(xué), 2025, 55(6): 1123-1158.

  4. Wenchao Xu, Xinyu Zhang, Hua Liang. Linearized maximum rank correlation estimation when covariates are functional. Journal of Multivariate Analysis, 2024, 202:105301.

  5. Wenchao Xu, Hongmei Lin, Tiejun Tong, Riquan Zhang. A new method for estimating Sharpe ratio function via local maximum likelihood. Journal of Applied Statistics, 2024, 51(1):34-52.

  6. Wenchao Xu, Hongmei Lin, Riquan Zhang, Hua Liang. Two-sample functional linear models with functional responses. Journal of Statistical Planning and Inference, 2022, 218:85-105.

  7. Wenchao Xu, Hui Ding, Riquan Zhang, Hua Liang. Estimation and inference in partially functional linear regression with multiple functional predictors. Journal of Statistical Planning and Inference, 2020, 209:44-61.

  8. Wenchao Xu, Riquan Zhang, Hua Liang. Two-sample functional linear models. Statistica Sinica, 2019, 29(4):1891-1913.


科研項(xiàng)目

  1. 國(guó)家自然科學(xué)基金(青年科學(xué)基金項(xiàng)目),《多維因變量的函數(shù)型數(shù)據(jù)充分降維方法及其應(yīng)用》,2022.01-2024.12,主持,結(jié)項(xiàng)

  2. 中國(guó)博士后科學(xué)基金(第69 批面上資助),《基于投影方法的多維因變量的函數(shù)型數(shù)據(jù)充分降維》,2021.07-2022.12,主持,結(jié)項(xiàng)