Research Interests:
Semi-Parametric Statistics;
Regression Spline and Penalized Spline;
Parameter Estimation for Differential Equation Models;
Variable Selection for High-Dimensional;
Survival Analysis

Selected Publications (from 19 peer-reviewed publications):
1. Hongqi Xue (2002). Convergence Rate of MLEs in a Partly Linear Model,
Science in China, Series A, 45:1398-1407

2. Hongqi Xue, K.F. Lam and Guoying Li (2004). Sieve Maximum Likelihood
Estimator for Semiparametric Regression Models with Current Status Data,
Journal of the American Statistical Association, 99:346-356.

3. K.F. Lam and Hongqi Xue(2005). A Semiparametric Regression Cure
Model with Current Status Data, Biometrika, 92:573-586.

4. Hongqi Xue, K.F. Lam, Cowling Ben and De Wolf, F (2006).
Semiparametric Accelerated Failure Time Regression Analysis with
Application to Interval Censored HIV/AIDS Data, Statistics in Medicine,
25:3850-3863.

5. K.F. Lam, Hongqi Xue and Y.B. Cheung (2006). Semiparametric Analysis
of Zero-Inflated Count Data, Biometrics, 62:996-1003.

6. Hongqi Xue, Hongyu Miao and Hulin Wu (2010). Sieve Estimation of
Constant and Time-Varying Coefficients in Nonlinear Ordinary
Differential Equation Models by Considering Both Numerical Error and
Measurement Error. Annals of Statistics, 38, 2351-2387.

7. Xuming He, Hongqi Xue and Ning-Zhong Shi(2010). Sieve Maximum Likelihood
Estimator for Double Semiparametric Zero-Inflated Poisson Models. Journal of Multivariate Analysis, 101, 2026-2038.

8. Hulin Wu, Hongqi Xue and Arun Kumar (2012).Numerical Discretization-Based Estimation Methods for ODE Models with Measurement Error via Penalized Spline Smoothing. Biometrics, 68, 344-352.

• Wu H, Xue H, Kumar A. Numerical Discretization-Based Estimation Methods for Ordinary Differential Equation Models via Penalized Spline Smoothing with Applications in Biomedical Research. Biometrics. 2012 Jun; 68(2):344-52.
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