1. Ji, P. and Nussbaum, M. (2017). Sharp minimax adaptation over Sobolev ellipsoids in nonparametric testing.  Electronic Journal of Statististics, Vol. 11, No. 2, 4515-4562. arXiv.
  2. Ji, P. and Jin, J. (2016). Coauthorship and citation networks for statisticians. Annals of Applied Statistics with discussion,  Vol. 10, No. 4, 1779-1812.   Presented in the AOAS Invited Lecture at the Joint Statistical Meetings (JSM) 2016 in Chicago.  Main paper, discussion (#1#2#3#4#5#6) and rejoinder.  Suplementary Materials.
  3. Ji, P., Jin, J. and Ke, Z. T. (2016). Discussion on "Statistical modelling of citation exchange between statistics journals". Journal of the Royal Statistical Society: Series A, 179: 52-53.  PDF
  4. Ji, P. and Zhao, Z. (2014). Rate optimal multiple testing procedure in high dimensional regression. SubmittedarXiv.
  5. Tang, H. and Ji, P. (2014). (invited and peer reviewed book chapter) Using the statistics program R instead of SPSS to analyze data, in Tools of Chemistry Education Research, Ed. Bunce, D. M. and Cole, R. S., 2014, American Chemical Society and Oxford University Press. PDF
  6. Abdel-Haleem, H., Ji, P., Boerma, H. R. and Li, Z. (2013). An R program for conducting parent-offspring test using SNP markers. Plant Methods, 9:44. PDF  and R package ParentOffspring.

  7. Ji, P. and Jin, J. (2012). UPS delivers optimal phase diagram in high dimensional variable selection. Annals of Statistics, Vol. 40, No. 1, 73-103. PDF  Supplement of ProofsMatlab code, and the R package ScreenClean.
  8. Ji, P. and Nussbaum, M. (2011). Sharp asymptotics for risk bounds in nonparametric testing with uncertainty in error distributions. Manuscript.
  9. Ji, P. (2012). Selected Topics in Nonparametric Testing and Variable Selection. PhD thesis, Department of Statistical Science, Cornell University.


  1. Ji, P., Jin, J., Zhang, Q. (2012). ScreenClean: Screen and clean variable selection procedures. R package Matlab package…
  2. Ji, P., Abdel-Haleem, H., Boerma, H. R. and Li, Z. (2013). ParentOffspring: Conduct parent-offspring test using SNP markers. R package