Gongjun Xu

Assistant Professor of Statistics and Psychology (by courtesy)

University of Michigan

456 West Hall, 1085 South University, Ann Arbor, MI, 48109

E-mail: gongjun at umich edu

Phone: 734~647~9532

Education:

  • Ph.D. in Statistics, Columbia University, 2013
  • B.S., University of Science and Technology of China, 2008.

Research Interests:

  • Latent variable models, psychometrics, cognitive diagnosis modeling
  • Rare event analysis and simulation, high-dimensional statistics
  • Semiparametric models, survival analysis

Publications

Acknowledgement: research is/was supported by NSF, NSA, IES, and NIH

Some Preprints

  • Y. Gu and G. Xu. "Partial identifiability of restricted latent class models"

Accepted


2018


2017


2016


2015


2014


2013 and earlier

Refereed conference papers and other publications:

  • G. Xu (2018+) "Identifiability and Cognitive Diagnosis Models" Handbook of Diagnostic Classification Models -- State of the art in modeling, estimation, and applications.
  • G. Xu, Z. Wu and S. Murphy (2018) "Micro-randomized Trials ." Wiley StatsRef: Statistics Reference Online.
  • J Liu and G Xu (2018) “Cognitive Diagnosis.” The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation.
  • G. Xu (2014) Uniformly Efficient Simulation for Tail Probabilities of Gaussian Random Fields. Proceedings of the 2014 Winter Simulation Conference.
  • F Wang, G Xu, Y Zhang and L Ma (2014) “Red cell distribution width is associated with presence, stage and grade in patients with renal cell carcinoma,” Disease Markers, vol. 2014, 860419.
  • J. Liu and G. Xu (2012). Rare-event Simulation for Exponential Integrals of Smooth Gaussian Processes. Proceedings of the 2012 Winter Simulation Conference.

PhD Students

  • April Cho, U of Michigan
  • Yuqi Gu, U of Michigan
  • Yinqiu He, U of Michigan
  • Chenchen Ma, U of Michigan
  • Zhuoran Shang, U of Minnesota (graduated 2018)
  • Juntao Wang (visiting phd student from Northeast Normal U.)

Undergraduate Students

  • Xinyue Zhao
  • Yanmeng Song
  • William Zhang (currently CS PhD student @UPenn)
  • Jiyang Wen (currently Biostats PhD student @Johns Hopkins)

Teaching

  • Stats 413 Applied Regression Analysis. Winter 2018, Fall 2018
  • Stats 601 Multivariate and Categorical Data Analysis. Winter 2017, Winter 2018

@ Minnesota

  • Stat 5421 Categorical Data Analysis, Fall 2016
  • Stat 3032 Regression and Correlated Data, Spring, Fall 2016
  • Stat 8913 Literature Seminar, Fall 2015
  • Stat 3032 Regression and Correlated Data, Fall 2015
  • Stat 5302 Applied Linear Regression, Spring 2015
  • Stat 5421 Categorical Data Analysis, Fall 2014
  • Stat 5302 Applied Linear Regression, Spring 2014
  • Stat 5302 Applied Linear Regression, Fall 2013