Fangzheng Xie


Assistant Professor
Department of Statistics
Indiana University
919 E. 10th Street
Bloomington, IN 47408

Email: fxie at iu dot edu

About me

I am an assistant professor in the Department of Statistics at Indiana University. I am broadly interested in developing Bayesian methods for various statistical problems with strong theoretical support. Specifically, I have been focusing on Bayes theory and methods for network data and high-dimensional problems, nonparametric Bayes, and Bayesian methods for computer experiments and uncertainty quantification. On the application side, I am also interested in designing new Bayesian methods for computational biology.

I received my Ph.D. from the Department of Applied Mathematics and Statistics at Johns Hopkins University under the supervision of Dr. Yanxun Xu.

Education

  • Ph.D. in Applied Mathematics and Statistics, Johns Hopkins University, 2020
  • M.A. in Applied Mathematics and Statistics, Johns Hopkins University, 2016
  • B.Sc. in Mathematics and Applied Mathematics, South China University of Technology, 2014

    • Publications and Preprints

  • Efficient Estimation for Random Dot Product Graphs via a One-step Procedure
    Fangzheng Xie and Yanxun Xu (Revision submitted) [arXiv]
  • Bayesian Estimation of Sparse Spiked Covariance Matrices in High Dimensions
    Fangzheng Xie, Yanxun Xu, Carey E. Priebe, Joshua Cape (Submitted) [arXiv]
  • A Theoretical Framework of the Scaled Gaussian Stochastic Process in Prediction and Calibration
    Mengyang Gu, Fangzheng Xie, Long Wang (Submitted) [arXiv]
  • Simultaneous Learning the Dimension and Parameter of a Statistical Model with Big Data
    Long Wang, Fangzheng Xie, Yanxun Xu (Under revision)
  • Bayesian Projected Calibration of Computer Models
    Fangzheng Xie, Yanxun Xu
    Journal of the American Statistical Association    , Accepted for Publication, 2020 [Link]
  • Bayesian Repulsive Gaussian Mixture Model
    Fangzheng Xie, Yanxun Xu
    Journal of the American Statistical Association    , 2020; 115(529): 187-203. [Link]
  • BAREB: A Bayesian repulsive biclustering model for periodontal data
    Yuliang Li, Dipankar Bandyopadhyay, Fangzheng Xie, Yanxun Xu
    Statistics in Medicine, 2020; 39(16): 2139-2151. [Link]
  • Optimal Bayesian estimation for random dot product graphs
    Fangzheng Xie, Yanxun Xu
    Biometrika, accepted for publication, 2019 [Link]
  • Rates of Contraction with respect to L2-distance for Bayesian Nonparametric Regression
    Fangzheng Xie, Wei Jin, Yanxun Xu
    Electronic Journal of Statistics, 2019, Vol. 13, No. 2, 3485-3512. [Link]
  • Adaptive Bayesian Nonparametric Regression using a Kernel Mixture of Polynomials with Application to the Partial Linear Model
    Fangzheng Xie, Yanxun Xu
    Bayesian Analysis, 2020; 15(1): 159-186. [Link]
  • BayCount: A Bayesian Decomposition Method for Inferring Tumor Heterogeneity using RNA-Seq Counts
    Fangzheng Xie, Mingyuan Zhou, Yanxun Xu
    Annals of Applied Statistics, 2018, Vol. 12, No. 3, 1605-1627. [Link] [R Package] [Installation R Script]

    • Teaching

  • STAT-S 520 Introduction to Statistics (Fall 2020)