| Robust linear regression: A review and comparison C Yu, W Yao Communications in Statistics-Simulation and Computation 46 (8), 6261-6282, 2017 | 295 | 2017 |
| A new regression model: modal linear regression W Yao, L Li Scandinavian Journal of Statistics 41 (3), 656-671, 2014 | 233 | 2014 |
| Robust mixture regression model fitting by Laplace distribution W Song, W Yao, Y Xing Computational Statistics & Data Analysis 71, 128-137, 2014 | 132 | 2014 |
| Local Modal Regression W Yao, BG Lindsay, R Li Journal of Nonparametric Statistics 24, 647-663, 2012 | 131 | 2012 |
| Robust mixture regression using the t-distribution W Yao, Y Wei, C Yu Computational Statistics & Data Analysis 71, 116-127, 2014 | 116 | 2014 |
| Bayesian mixture labeling by highest posterior density W Yao, BG Lindsay Journal of the American Statistical Association 104 (486), 758-767, 2009 | 114 | 2009 |
| Robust fitting of mixture regression models X Bai, W Yao, JE Boyer Computational Statistics & Data Analysis 56 (7), 2347–2359, 2012 | 99 | 2012 |
| Mixture of Regression Models with Varying Mixing Proportions: A Semiparametric Approach M Huang, W Yao Journal of the American Statistical Association 107, 711-724, 2012 | 97 | 2012 |
| Energy efficient building HVAC control algorithm with real-time occupancy prediction J Shi, N Yu, W Yao Energy Procedia 111, 267-276, 2017 | 94 | 2017 |
| New local estimation procedure for a non-parametric regression function for longitudinal data W Yao, R Li Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2013 | 75 | 2013 |
| Joint estimation of behind-the-meter solar generation in a community F Kabir, N Yu, W Yao, R Yang, Y Zhang IEEE Transactions on Sustainable Energy 12 (1), 682-694, 2020 | 68 | 2020 |
| Estimation of behind-the-meter solar generation by integrating physical with statistical models F Kabir, N Yu, W Yao, R Yang, Y Zhang 2019 IEEE International Conference on Communications, Control, and Computing …, 2019 | 53 | 2019 |
| Model based labeling for mixture models W Yao Statistics and Computing 22, 337-347, 2012 | 48 | 2012 |
| A profile likelihood method for normal mixture with unequal variance W Yao Journal of Statistical Planning and Inference 140 (7), 2089-2098, 2010 | 43 | 2010 |
| Robust variable selection through MAVE W Yao, Q Wang Computational Statistics & Data Analysis 63, 42-49, 2013 | 38 | 2013 |
| Label switching and its solutions for frequentist mixture models W Yao Journal of Statistical Computation and Simulation 85 (5), 1000-1012, 2015 | 37 | 2015 |
| A note on EM algorithm for mixture models W Yao Statistics & Probability Letters 83, 519-526, 2013 | 34 | 2013 |
| An overview of semiparametric extensions of finite mixture models S Xiang, W Yao, G Yang | 33 | 2019 |
| Minimum profile Hellinger distance estimation for a semiparametric mixture model S Xiang, W Yao, J Wu Canadian Journal of Statistics 42 (2), 246-267, 2014 | 32 | 2014 |
| Mixture of linear mixed models using multivariate t distribution X Bai, K Chen, W Yao Journal of Statistical Computation and Simulation 86 (4), 771-787, 2016 | 28 | 2016 |
