Department of Mathematics and Statistics

Xiaoli Gao, Associate Professor

Xiaoli

Office: Petty 102
Phone: 334-5213
Email address: x_gao2@uncg.edu
Personal web page: www.uncg.edu/~x_gao2/
Starting year at UNCG: 2013
Office hours: R 12:00-2:00; By Appointment

Education

Ph.D. in Statistics, University of Iowa (2008)

Teaching

Fall, 2014
  • MAT 701-07 SEM (Graduate Seminar in Computational Mathematics)
  • STA 291-01 LEC (Statistical Methods), TR 2:00-3:15, Nursing, Moore Building 329
  • STA 661-01 LEC (Advanced Statistics in the Behavioral and Biological Sciences I), TR 3:30-4:45, Nursing, Moore Building 329
  • STA 667-03 RES (Statistical Consulting)
Spring, 2015
  • STA 565-01 LEC (Analysis of Survival Data), TR 12:30-1:45, Petty Building 227
  • STA 662-01 LEC (Advanced Statistics in the Behavioral and Biological Sciences II), TR 3:30-4:45, Petty Building 227
  • STA 667-03 RES (Statistical Consulting)

Research Interests

Statistics

Selected Recent Publications

  • Gillies, C. E., Gao, X.L., Patel, N.V., Siadat, M.R., Wilson, G.D.(2012). Improved Feature Selection by Incorporating Gene Similarity into the LASSO, 2012 IEEE 12th International Conference on Data Mining Workshops. An extended version is published in International Journal of Knowledge Discovery in Bioinformatics, 3(1), 1-13, DOI: 0.4018/jkdb.2012010101.
  • Wu, Y. and Gao, X.L. (2011).Sieve estimation with bivariate interval censored data, Journal of Statistics, Application and Theory, 5, 37-61.
  • Gao, X.L. and Fang, Y.X. (2011). A note on the generalized degrees of freedom under the L1 loss function. Journal of Statistical Planning and Inference, 141, 677-686.
  • Gao, X.L. and Huang, J. (2010) A Robust Penalized Method for the Analysis of Noisy DNA Copy Number Data. BMC Genomics, 11:517.
  • Gao, X.L. and Huang, J. (2010). Asymptotic analysis of high-dimensional LAD regression with Lasso. Statistica Sinica, 20 1485-1506.

Brief Bio

Dr. Xiaoli Gao received her Ph.D. in Statistics from the University of Iowa in 2008 and joined UNCG in 2013. Her research interests include High-dimensional Data analysis, Shrinkage analysis, Statistical Genetics, Change point and Survival Analysis. More recent papers can be found on her personal webpage.