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

尤夢(mèng)瑩(YOU Mengying)

講師電話:021-67701803
           電子郵件:mengyy@suibe.edu.cn

教育背景

博士(統(tǒng)計(jì)學(xué)),2019年, 西南財(cái)經(jīng)大學(xué)
學(xué)士(統(tǒng)計(jì)學(xué)(金融統(tǒng)計(jì))),2014年, 南京師范大學(xué)

研究領(lǐng)域

   函數(shù)型數(shù)據(jù)分析,非參數(shù)/半?yún)?shù)模型,狀態(tài)空間模型,光滑樣條,亞組分析

主講課程

數(shù)理統(tǒng)計(jì)、統(tǒng)計(jì)學(xué)、屬性數(shù)據(jù)分析、商務(wù)統(tǒng)計(jì)案例分析

簡(jiǎn)介

上海對(duì)外經(jīng)貿(mào)大學(xué)統(tǒng)計(jì)與信息學(xué)院講師,2020年2月-2024年1月于賓夕法尼亞大學(xué)Perelman School of Medicine,Biostatistics系擔(dān)任博士后?,F(xiàn)兼任《Statistics in Biosciences》,《應(yīng)用概率統(tǒng)計(jì)》、《系統(tǒng)科學(xué)與數(shù)學(xué)》等期刊審稿人,并在《Journal of the American Statistical Association》、《The Annals of Applied Statistics》、《Statistica Sinica》及《Science China- Mathematics》等國(guó)內(nèi)外著名學(xué)術(shù)期刊發(fā)表了論文。

   

發(fā)表論文

  1. Lv, S., You, M., Lin, H., Liang, H., and Huang, J. (2018). On the sign consistency of the Lasso for the high-dimensional Cox model. Journal of Multivariate Analysis, 167, 79-96.

  2. You, M., and Lin, H., and Liang, H. (2022). Dynamically integrated regression model for online auction data. Science China- Mathematics, 65(7), 1531-1552.

  3. Guo, W., You, M., Yi, J., Pontari, M. A., Landis, J. R. (2022). Functional mixed effects clustering with application to longitudinal urologic chronic pelvic pain syndrome symptom data. (共同一作), Journal of the American Statistical Association, 117(540), 1631-1641.

  4. Li, G., You, M., Zhou, L., Liang, H., and Lin, H. (2024) A projected-based diagnostic test for generalized functional regression model. (共同一作),Statistica Sinica, 34,1-23,doi: 10.5705/ss.202022.0083.

  5. Erickson, B., Taple, B., Griffith, J., Guo, W., You, M., et al. (2024) Ecological Momentary Assessment of Pelvic Pain and Urinary Urgency Variability in Urologic Chronic Pelvic Pain Syndrome and Their Association with Illness Impact and Quality of Life: Findings from the MAPP Study. Neurourology and Urodynamics, 43(4):893-901

  6. You, M., and Guo, W. (2024). Semiparametric bivariate hierarchical state space model with application to hormone circadian relationship. The Annals of Applied Statistics, 18(2), 1275-1293.