Jun Xie
Professor of Statistics
Department of Statistics
Purdue University
250 N. University Street
West Lafayette, IN 47907-2067

Tel: (765)494-6032
Email: junxie@purdue.edu



Research Areas


Curriculum Vitae



Some Recent Publications

My research group works on advanced statistical methods for large-scale inference. An application area is the analysis of whole genome sequence data, to identify disease susceptibility genes and predict treatment response.

  1. Cauchy combination test, published in JASA (Journal of the American Statistical Association)
    A test for weak and sparse alternatives with analytic p-value calculation and under arbitrary dependency structures
  2. Another paper in JASA
    "Accurate and Efficient P-value Calculation via Gaussian Approximation: a Novel Monte-Carlo Method"
  3. In the Annals of Applied Statistics 2018, Vol. 12, No. 1, 567-585.
    "Powerful test based on conditional effects for genome-wide screening"

Research Group

Google Scholar Citation



Education

1994: B.S. in Statistics
Department of Probability and Statistics, Peking University

1997: M.S. in Statistics
Department of Probability and Statistics, Peking University

2000: Ph.D. in Statistics
Department of Statistics, University of California at Los Angeles



Research Group