Weixin Yao
Title
Cited by
Cited by
Year
Bayesian mixture labeling by highest posterior density
W Yao, BG Lindsay
Journal of the American Statistical Association 104 (486), 758-767, 2009
932009
Robust mixture regression model fitting by Laplace distribution
W Song, W Yao, Y Xing
Computational Statistics & Data Analysis 71, 128-137, 2014
832014
A new regression model: modal linear regression
W Yao, L Li
Scandinavian Journal of Statistics 41 (3), 656-671, 2014
792014
Robust mixture regression using the t-distribution
W Yao, Y Wei, C Yu
Computational Statistics & Data Analysis 71, 116-127, 2014
742014
Robust linear regression: A review and comparison
C Yu, W Yao
Communications in Statistics-Simulation and Computation 46 (8), 6261-6282, 2017
722017
Local Modal Regression
W Yao, BG Lindsay, R Li
Journal of Nonparametric Statistics 24, 647-663, 2012
702012
Robust fitting of mixture regression models
X Bai, W Yao, JE Boyer
Computational Statistics & Data Analysis 56 (7), 2347–2359, 2012
632012
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
602013
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
602012
Model based labeling for mixture models
W Yao
Statistics and Computing 22 (2), 337-347, 2012
452012
A profile likelihood method for normal mixture with unequal variance
W Yao
Journal of Statistical Planning and Inference 140 (7), 2089-2098, 2010
362010
Energy efficient building HVAC control algorithm with real-time occupancy prediction
J Shi, N Yu, W Yao
Energy Procedia 111 (C), 2017
322017
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
242014
A note on EM algorithm for mixture models
W Yao
Statistics & Probability Letters 83, 519-526, 2013
232013
Label switching and its solutions for frequentist mixture models
W Yao
Journal of Statistical Computation and Simulation 85 (5), 1000-1012, 2015
202015
Robust variable selection through MAVE
W Yao, Q Wang
Computational Statistics & Data Analysis 63, 42-49, 2013
192013
Maximum Likelihood estimation of mixture of log-concave densities
H Hu, Y Wu, W Yao
Computational Statistics and Data Analysis 101, 137-147, 2016
182016
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
182015
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
172016
Kernel Density Based Linear Regression Estimate
W Yao, Z Zhao
Communications in Statistics-Theory and Methods 42, 4499-4512, 2013
172013
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Articles 1–20