Bayesian mixture labeling by highest posterior density W Yao, BG Lindsay Journal of the American Statistical Association 104 (486), 758-767, 2009 | 93 | 2009 |

Robust mixture regression model fitting by Laplace distribution W Song, W Yao, Y Xing Computational Statistics & Data Analysis 71, 128-137, 2014 | 83 | 2014 |

A new regression model: modal linear regression W Yao, L Li Scandinavian Journal of Statistics 41 (3), 656-671, 2014 | 79 | 2014 |

Robust mixture regression using the t-distribution W Yao, Y Wei, C Yu Computational Statistics & Data Analysis 71, 116-127, 2014 | 74 | 2014 |

Robust linear regression: A review and comparison C Yu, W Yao Communications in Statistics-Simulation and Computation 46 (8), 6261-6282, 2017 | 72 | 2017 |

Local Modal Regression W Yao, BG Lindsay, R Li Journal of Nonparametric Statistics 24, 647-663, 2012 | 70 | 2012 |

Robust fitting of mixture regression models X Bai, W Yao, JE Boyer Computational Statistics & Data Analysis 56 (7), 2347–2359, 2012 | 63 | 2012 |

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 | 60 | 2013 |

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 | 60 | 2012 |

Model based labeling for mixture models W Yao Statistics and Computing 22 (2), 337-347, 2012 | 45 | 2012 |

A profile likelihood method for normal mixture with unequal variance W Yao Journal of Statistical Planning and Inference 140 (7), 2089-2098, 2010 | 36 | 2010 |

Energy efficient building HVAC control algorithm with real-time occupancy prediction J Shi, N Yu, W Yao Energy Procedia 111 (C), 2017 | 32 | 2017 |

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 | 24 | 2014 |

A note on EM algorithm for mixture models W Yao Statistics & Probability Letters 83, 519-526, 2013 | 23 | 2013 |

Label switching and its solutions for frequentist mixture models W Yao Journal of Statistical Computation and Simulation 85 (5), 1000-1012, 2015 | 20 | 2015 |

Robust variable selection through MAVE W Yao, Q Wang Computational Statistics & Data Analysis 63, 42-49, 2013 | 19 | 2013 |

Maximum Likelihood estimation of mixture of log-concave densities H Hu, Y Wu, W Yao Computational Statistics and Data Analysis 101, 137-147, 2016 | 18 | 2016 |

Flexible estimation of a semiparametric two-component mixture model with one parametric component Y Ma, W Yao Electronic Journal of Statistics 9 (1), 444-474, 2015 | 18 | 2015 |

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 | 17 | 2016 |

Kernel Density Based Linear Regression Estimate W Yao, Z Zhao Communications in Statistics-Theory and Methods 42, 4499-4512, 2013 | 17 | 2013 |