• Office: WH 135
• Office hours:

  MW	3:30 - 4:30

• Courses:
  • Spring 2022
    
    

    Math 579	Section 01 :	Advanced Statistical Inference
    	MWF 2:00 - 3:30	WH-100E
    Math 699	Section 17 :	Dissertation
    	-	-

• Ph. D. Students:
  • Xiaojie Du, Spring, 2018
    Thesis: Inference in Linear Regression with Symmetric Errors: An Empirical Likelihood Approach
  • Ruiqi Liu, Spring, 2018
    Thesis: Identification and estimation in panel models with over specified number of groups
  • Nan Bi, Fall, 2016
    Thesis: Empirical Likelihood for a Class of Semiparametric Regression Models
  • Yilin Zhu, Spring, 2016
    Thesis: Estimation of the Error Distribution in a Varying Coefficient Regression Model
  • Peng Zhang, Fall, 2010
    Thesis: Prediction in heteroskedastic autoregressive models
  • Jichang Du, Fall, 2007
    Thesis: Covariate-matched estimator of the error variance in nonparametric regression
  • Jeffrey Forrester, Summer, 2001
    Thesis: Efficient Estimation of the Regression Parameter in a Heteroscedastic Regression Model Where Heteroscedasticity is Modeled as a function of the mean response
  • William Hooper, Summer, 2001
    Thesis: Efficient Estimation of Transformation Parameters in Nonparametric Regression
  • Hanxiang Peng, Summer, 2001
    Thesis: Efficient Estimation of Linear Functionals of a Bivariate Probability with Equal Marginals

Here's a link to my personal web page.