- Yao, W. and Li, L. (2013). A New Regression Model: Modal Linear Regression. To appear at Scandinavian Journal of Statistics.
- Huang, M., Li, R., and Huang, H., and Yao, W. (2013). Mixture of gaussian processes and its applications. To appear at Journal of Business and Economics Statistics.
- Yao, W. and Wang, Q. (2013). Robust variable selection through MAVE. To appear at Computational Statistics and Data Analysis.
- Lindsay, B. G. and Yao, W. (2012). Fisher Information Matrix: A Tool for Dimension Reduction, Projection Pursuit, Independent Components Analysis, and More. To appear at The Canadian Journal of Statistics.
- Yao, W. and Li, R. (2013). New Local Estimation Procedure for Nonparametric Regression Function of Longitudinal Data. To appear at Journal of the Royal Statistical Society, Ser B.
- Huang, M. and Yao, W. (2012). Mixture of Regression Models with Varying Mixing Proportions: A Semiparametric Approach. Journal of American Statistical Association107, 711-724.
- Yao, W., Lindsay, B. G., and Li, R. (2012). Local modal regression. Journal of Nonparametric Statistics, 24, 647-663.
- Yao, W. (2012). Model Based Labeling for Mixture Models. Statistics and Computing, 22, 337-347.
- Bai, X., Yao, W., and Boyer, J. E. (2012). Robust Mixture of Regression. Computational Statistics and Data Analysis, 56, 2347-2359.
- Zhao, Z. and Yao, W. (2012). Sequential Design for Nonparametric Inference. The Canadian Journal of Statistics, 40, 362-377.
- Wang, Q. and Yao, W. (2012). An Adaptive Estimation of MAVE. Journal of Multivariate Data Analysis, 104, 88-100.
- Cao, J. and Yao, W. (2012). Semiparametric Mixture of Binomial Regression with a Degenerate Component. Statistica Sinica, 22, 27-46.
- Yao, W. (2010). A Profile Likelihood Method for Normal Mixture with Unequal
Variance. Journal of Statistical Planning and Inference, 140, 2089-2098. Matlab code.
- Yao, W. and Lindsay, B. G. (2009). Bayesian Mixture Labeling by Highest Posterior Density.
Journal of American Statistical Association, 104, 758-767. Matlab code.