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




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, to appear in JASA
    A test for weak and sparse alternatives with analytic p-value calculation and under arbitrary dependency structures
  2. in Journal of the American Statistical Association
    "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