Spring 2008, Stat/Math 414, Introduction to Probability Theory, Penn
State University
Summer 2006, Stat 401, Experimental Methods, Penn State University
Research Interests
Robust
Modeling
Nonparametric
and Semiparametric Methods
High-Dimensional
Data Analysis
Model
Selection
Bioinformatics
Publications
Kai, B., Li, R. and Zou, H. (2011). New Efficient
Estimation and Variable Selection Methods for Semiparametric
Varying-coefficient Partially Linear Models. The Annals of Statistics, 39(1),
305-332. [Link]
Kai, B., Li, R. and Zou, H. (2010). Local CQR Smoothing: An
Efficient and Safe Alternative to Local Polynomial Regression. Journal of the Royal Statistical
Society, Series B, 72(1),
49-69. [Link]
Wang,
L., Kai, B. and Li, R. (2009).
Local Rank Inference for Varying Coefficient Models. Journal of the American Statistical Association, 104(488), 1631-1645. [Link]
Shen, S., Kai,
B., Ruan, J., Huzil,
J. T., Carpenter, E. and Tuszynski, J. A.
(2006). Probabilistic Analysis of the Frequencies of Amino Acid Pairs
within Characterized Protein Sequences. Physica A: Statistical Mechanics and its Applications, 370(2), 651-662. [Link]
Shen, S., Yu, T., Kai,
B. and Ruan, J. (2004). Semantic Analysis of
Biological Sequences and Exploration of Second Cipher Rules. Chinese Journal of Engineering
Mathematics, 21(6),
862-870. [Link]