• Office: WH 135
• Office hours:
• Courses:
  • Spring 2020
    
    

    Math 502	Section 01 :	Statistical Inference
    	MWF 8:00 - 9:30	WH-100E
    Math 579	Section 01 :	Advanced Statistical Inference
    	MWF 1:10 - 2:40	WH-329
    Math 597	Section 17 :	Independent Work
    	-	-

  • Fall 2020
    
    

    Math 540	Section 01 :	Capstone Seminar I
    	T 10:00 - 11:30	WH-309
    Math 605	Section 01 :	Topics in Statistics
    	MWF -	WH-

• 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.