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Mathematics


 

Hailin Sang, Ph.D.
Assistant Professor
Department of Mathematics
University of Mississippi
Ph.D., University of Connecticut 2008


Contact Information

Hume Hall 325
Phone: (662) 915-7398
Email: sang@olemiss.edu
Fax: (662) 915-5491


Teaching - Spring 2014

Office Hours : MWF 10:00 - 11:00 am and by appointment

Math 375-02 (Intro to Statistics) : MWF 8:00 - 8:50 am in Hume 113
Math 576 (Mathematical Statistics II) : MWF 11:00 - 11:50 am in Hume 331


Research Interests

  • Long Memory Time Series/Linear Processes, Time Series Model Selection
  • Nonparametric Statistics, Asymptotic Statistics, Empirical Processes
  • Survey Sampling Design & Analysis, Data Mining


Selected Publications
  • Simultaneous sparse model selection and coefficient estimation for heavy-tailed autoregressive processes, H. Sang and Yan Sun, to appear in Statistics.
  • The self-normalized asymptotic results for linear processes, M. Peligrad and H. Sang, to appear in Fields Institute Communications.
  • Exact moderate and large deviations for linear processes, M. Peligrad, H. Sang,
    Y. Zhong and W. B. Wu, to appear in Statistica Sinica.
  • On the estimation of smooth probability densities by probability densities at the optimal rate in sup-norm loss, E. Giné and H. Sang, IMS Collections, From Probability to Statistics and Back: High-Dimensional Models and Processes, Vol. 9 (2013) 128-149.
  • Central limit theorem for linear processes with infinite variance, M. Peligrad and
    H. Sang, Journal of Theoretical Probability, 26 (2013), no. 1, 222-239.
  • Asymptotic properties of self-normalized linear processes with long memory,
    M. Peligrad and H. Sang, Econometric Theory, Volume 28 Issue 3, 2012, 548-569.
  • Uniform asymptotics for kernel density estimators with variable bandwidths,
    E. Giné and H. Sang, Journal of Nonparametric Statistics, Volume 22 Issue 6, 2010, 773-795.

Technical Reports

  • Abreu, Denise, Andrea C. Lamas, Hailin Sang, Kenneth K. Lopiano, Pam Arroway, Linda
    J. Young. 2011. On the feasibility of using NASS's sampling list frame to evaluate mis-
    classification errors of the June Area Survey
    . United States Department of Agriculture
    National Agricultural Statistics Service (USDA NASS) Research Report, #RDD-11-01,
    Internally Reviewed.
  • Sang, Hailin, Pam Arroway, Kenneth K. Lopiano, Denise A. Abreu, Andrea C. Lamas, and
    Linda J. Young. 2011. Annual Land Utilization Survey (ALUS): Design and methodology,
    USDA NASS Research Report, #RDD-11-02, Internally Reviewed.
  • Lopiano, Kenneth K., Densie A. Abreu, Andrea C. Lamas, Hailin Sang, Pam Arroway,
    and Linda J Young. 2011. Adjusting the June Area Survey estimate of the number of U.S.
    farms for misclassification and non-response
    . USDA NASS. Research Report, #RDD-11-
    04. Internally Reviewed.
  • Abreu, Denise A., Andrea C. Lamas, Hailin Sang, Kenneth K. Lopiano, Pam Arroway,
    and Linda J. Young. Adjusting an area frame estimate for misclassification using a list
    frame
    . USDA NASS Research Report. Internally Reviewed.

JSM Proceeding Papers
  • Adjusting an area frame estimate for misclassification using a list frame, A. Lamas, D. A.
    Abreu, H. Sang, P. Arroway, K. K. Lopiano, and L. J. Young, 2011 Proceedings, American
    Statistical Association, Alexandria, Virginia.
  • Is it feasible to use a sampling list frame to evaluate misclassification errors on an area-
    frame-survey?
    D. A. Abreu, A. Lamas, H. Sang, K. K. Lopiano, P. Arroway, and L. J.
    Young, 2011 Proceedings, American Statistical Association, Alexandria, Virginia.