• Shen Juan

    Associate Professor

    Statistics and Data Science

    Add: Guoshun Road Siyuan Building Room 636, Siyuan Building

    Tel: 25011134(TEL)

    E-mail: shenjuan@fudan.edu.cn

    Research Field: Mixture Model, Subgroup Analysis, Bayesian Variable Selection

    Website:

    Teacher information
    Achievements in scientific research
    Academic activities and community service

    Educational Background

    Doctor Degree,Statistics,University of Michigan, USA

    Master Degree,Statistics,University of Illinois at Urbana-Champaign, USA

    Bachelor Degree,Statistics,University of Science and Technology of China

    Academic Background

    2017.08——2017.12,Visiting Scholar,MIT Sloan School of Management, USA


    Journal Papers


    1.Ruqian Zhang, Naveen N. Narisetty, Xuming He, and Juan Shen2025Bayesian variable selection on structured logistic-normal mixture models for subgroup analysisElectronic Journal of Statistics 19(1) 2876–2922.  



    2.Juan Shen and Annie Qu2020Subgroup analysis based on structured mixed-effects models for longitudinal dataJournal of Biopharmaceutical Statistics 30(4) 607–622.  



    3.Naveen N.Narisetty, Juan Shen, and Xuming He2019Skinny gibbs: A consistent and scalable gibbs sampler for model selectionJournal of the American Statistical AssociationAssociation 114(527) 1205-1217.  



    4.Weihong Huang, Juan Shen, and Yuguo Chen2018The self-multiset samplerJournal of Computational and Graphical Statistics 27(1) 34-47.  



    5.Juan Shen, Yingchuan Wang, and Xuming He2017Penalized likelihood for logistic-normal mixture models with unequal variancesStatistica Sinica 27(2) 711-731.  



    6.Xiahai Zhuang,and Juan Shen2016Multi-scale patch and multi-modality atlases for whole heart segmentation of MRIMedical Image Analysis 31 77-87.  



    7.Juan Shen and Xuming He2015Inference for subgroup analysis with a structured logistic-normal mixture modelJournal of the American Statistical Association 110(509) 303-312.  



    8.Juan Shen and Xuming He2014Generalized f test and generalized deviance test in two-way ANOVA models for randomized trialsJournal of Biopharmaceutical Statistics 24(3) 523–534.  


    Research Projects

    2019.01—2022.12Principal InvestigatorBayeisan Methods for Subgroup Analysis with High Dimensional DataNational Natural Science Foundation of China

    2017.12—2018.03Principal InvestigatorStatistical Learning Methods and Algorithms in Intelligent RetailingFARSIGHT

    2016.01—2018.12Principal InvestigatorSubgroup Analysis Based on Structured Logistic Normal Mixture ModelsNational Natural Science Foundation of China