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Weixin Yao

Affiliations: 
Statistics Kansas State University, Manhattan, KS, United States 
Area:
Statistics
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"Weixin Yao"
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Xiuqin Bai grad student 2014 Kansas State University
Sijia Xiang grad student 2014 Kansas State University

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Zhu H, Li Y, Liu B, et al. (2021) Extreme quantile estimation for partial functional linear regression models with heavy-tailed distributions. The Canadian Journal of Statistics = Revue Canadienne De Statistique. 50: 267-286
Zhou M, Yao W. (2021) Sensitivity analysis of unmeasured confounding in causal inference based on exponential tilting and super learner. Journal of Applied Statistics. 50: 744-760
Yu C, Yao W, Yang G. (2020) A Selective Overview and Comparison of Robust Mixture Regression Estimators International Statistical Review. 88: 176-202
Wichitchan S, Yao W, Yu C. (2020) A new class of multivariate goodness of fit tests for multivariate normal mixtures Communications in Statistics - Simulation and Computation. 1-14
Yang G, Xiang S, Yao W, et al. (2020) Robust estimation and outlier detection for varying-coefficient models via penalized regression Communications in Statistics - Simulation and Computation. 1-12
Ma Y, Wang S, Xu L, et al. (2020) Semiparametric mixture regression with unspecified error distributions Test. 1-16
Xiang S, Yao W, Yang G. (2019) An Overview of Semiparametric Extensions of Finite Mixture Models Statistical Science. 34: 391-404
Wichitchan S, Yao W, Yang G. (2019) A simple root selection method for univariate finite normal mixture models Communications in Statistics-Theory and Methods. 48: 3778-3794
Huang M, He K, Yao W. (2019) Regression estimation via information-weighted composite models with different dimensions Communications in Statistics - Simulation and Computation. 1-9
Yang G, Yao W, Xiang S. (2019) Sure independence screening in ultrahigh dimensional generalized additive models Journal of Statistical Planning and Inference. 199: 126-135
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