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Weixin Yao - Publications

Affiliations: 
Statistics Kansas State University, Manhattan, KS, United States 
Area:
Statistics
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69 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Zhu H, Li Y, Liu B, Yao W, Zhang R. 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. PMID 38239624 DOI: 10.1002/cjs.11653  0.356
2021 Zhou M, Yao W. Sensitivity analysis of unmeasured confounding in causal inference based on exponential tilting and super learner. Journal of Applied Statistics. 50: 744-760. PMID 36819084 DOI: 10.1080/02664763.2021.1999398  0.304
2020 Yu C, Yao W, Yang G. A Selective Overview and Comparison of Robust Mixture Regression Estimators International Statistical Review. 88: 176-202. DOI: 10.1111/Insr.12349  0.402
2020 Wichitchan S, Yao W, Yu C. A new class of multivariate goodness of fit tests for multivariate normal mixtures Communications in Statistics - Simulation and Computation. 1-14. DOI: 10.1080/03610918.2020.1808682  0.302
2020 Yang G, Xiang S, Yao W, Xu L. Robust estimation and outlier detection for varying-coefficient models via penalized regression Communications in Statistics - Simulation and Computation. 1-12. DOI: 10.1080/03610918.2020.1784429  0.418
2020 Ma Y, Wang S, Xu L, Yao W. Semiparametric mixture regression with unspecified error distributions Test. 1-16. DOI: 10.1007/S11749-020-00725-Z  0.464
2019 Xiang S, Yao W, Yang G. An Overview of Semiparametric Extensions of Finite Mixture Models Statistical Science. 34: 391-404. DOI: 10.1214/19-Sts698  0.356
2019 Wichitchan S, Yao W, Yang G. A simple root selection method for univariate finite normal mixture models Communications in Statistics-Theory and Methods. 48: 3778-3794. DOI: 10.1080/03610926.2018.1481972  0.338
2019 Huang M, He K, Yao W. Regression estimation via information-weighted composite models with different dimensions Communications in Statistics - Simulation and Computation. 1-9. DOI: 10.1080/03610918.2019.1586928  0.448
2019 Yang G, Yao W, Xiang S. Sure independence screening in ultrahigh dimensional generalized additive models Journal of Statistical Planning and Inference. 199: 126-135. DOI: 10.1016/J.Jspi.2018.04.004  0.345
2019 Xu L, Xiang S, Yao W. Robust maximum Lq-likelihood estimation of joint mean–covariance models for longitudinal data Journal of Multivariate Analysis. 171: 397-411. DOI: 10.1016/J.Jmva.2019.01.001  0.45
2019 Wichitchan S, Yao W, Yang G. Hypothesis testing for finite mixture models Computational Statistics & Data Analysis. 132: 180-189. DOI: 10.1016/J.Csda.2018.05.005  0.349
2018 Huang M, Yao W, Wang S, Chen Y. Statistical Inference and Applications of Mixture of Varying Coefficient Models Scandinavian Journal of Statistics. 45: 618-643. DOI: 10.1111/Sjos.12316  0.468
2018 Peng H, Jeske DR, SenGupta A, Yao W. Designing one-sided group sequential clinical trials to detect a mixture alternative Sequential Analysis. 37: 268-291. DOI: 10.1080/07474946.2018.1466545  0.337
2018 Huang M, Ji Q, Yao W. Semiparametric hidden Markov model with non-parametric regression Communications in Statistics-Theory and Methods. 47: 5196-5204. DOI: 10.1080/03610926.2017.1388398  0.338
2018 Li L, Yao W. Fully Bayesian logistic regression with hyper-LASSO priors for high-dimensional feature selection Journal of Statistical Computation and Simulation. 88: 2827-2851. DOI: 10.1080/00949655.2018.1490418  0.392
2018 Xiang S, Yao W. Semiparametric mixtures of nonparametric regressions Annals of the Institute of Statistical Mathematics. 70: 131-154. DOI: 10.1007/S10463-016-0584-7  0.468
2017 Hu H, Yao W, Wu Y. The Robust EM-type Algorithms for Log-concave Mixtures of Regression Models. Computational Statistics & Data Analysis. 111: 14-26. PMID 28947841 DOI: 10.1016/J.Csda.2017.01.004  0.414
2017 Yu C, Yao W, Chen K. A new method for robust mixture regression. The Canadian Journal of Statistics = Revue Canadienne De Statistique. 45: 77-94. PMID 28579672 DOI: 10.1002/Cjs.11310  0.472
2017 Chen Y, Yao W. Unified Inference for Sparse and Dense Longitudinal Data in Time‐varying Coefficient Models Scandinavian Journal of Statistics. 44: 268-284. DOI: 10.1111/Sjos.12253  0.399
2017 Yu C, Yao W. Robust linear regression: A review and comparison Communications in Statistics - Simulation and Computation. 46: 6261-6282. DOI: 10.1080/03610918.2016.1202271  0.402
2017 Yang L, Xiang S, Yao W. Robust fitting of mixtures of factor analyzers using the trimmed likelihood estimator Communications in Statistics - Simulation and Computation. 46: 1280-1291. DOI: 10.1080/03610918.2014.999088  0.443
2017 Wu J, Yao W, Xiang S. Computation of an efficient and robust estimator in a semiparametric mixture model Journal of Statistical Computation and Simulation. 87: 2128-2137. DOI: 10.1080/00949655.2017.1318136  0.488
2016 Kürüm E, Li R, Shiffman S, Yao W. TIME-VARYING COEFFICIENT MODELS FOR JOINT MODELING BINARY AND CONTINUOUS OUTCOMES IN LONGITUDINAL DATA. Statistica Sinica. 26: 979-1000. PMID 27667908 DOI: 10.5705/Ss.2014.213  0.396
2016 Hu H, Wu Y, Yao W. Maximum likelihood estimation of the mixture of log-concave densities. Computational Statistics & Data Analysis. 101: 137-147. PMID 27065505 DOI: 10.1016/J.Csda.2016.03.002  0.441
2016 Xiang S, Yao W. A new information criterion-based bandwidth selection method for non-parametric regressions Journal of Statistical Computation and Simulation. 1-10. DOI: 10.1080/00949655.2016.1164158  0.572
2016 Bai X, Chen K, Yao W. Mixture of linear mixed models using multivariate t distribution Journal of Statistical Computation and Simulation. 86: 771-787. DOI: 10.1080/00949655.2015.1036431  0.443
2016 Xiang S, Yao W, Seo B. Semiparametric mixture: Continuous scale mixture approach Computational Statistics and Data Analysis. 103: 413-425. DOI: 10.1016/J.Csda.2016.06.001  0.485
2016 Wang S, Huang M, Wu X, Yao W. Mixture of functional linear models and its application to CO2-GDP functional data Computational Statistics and Data Analysis. 97: 1-15. DOI: 10.1016/J.Csda.2015.11.008  0.4
2016 Wu Q, Yao W. Mixtures of quantile regressions Computational Statistics and Data Analysis. 93: 162-176. DOI: 10.1016/J.Csda.2014.04.014  0.475
2015 Zhang L, Mao D, Xing F, Bai X, Zhao H, Yao W, Li G, Xie W, Xing Y. Loss of function of OsMADS3 via the insertion of a novel retrotransposon leads to recessive male sterility in rice (Oryza sativa). Plant Science : An International Journal of Experimental Plant Biology. 238: 188-197. PMID 26259187 DOI: 10.1016/J.Plantsci.2015.06.007  0.355
2015 Ma Y, Yao W. Flexible estimation of a semiparametric two-component mixture model with one parametric component Electronic Journal of Statistics. 9: 444-474. DOI: 10.1214/15-Ejs1008  0.469
2015 Yao W, Song W. Mixtures of linear regression with measurement errors Communications in Statistics-Theory and Methods. 44: 1602-1614. DOI: 10.1080/03610926.2013.781638  0.452
2015 Wu Q, Yao W. Relabel mixture models via modal clustering Communications in Statistics - Simulation and Computation. 46: 3406-3418. DOI: 10.1080/03610918.2015.1089287  0.423
2015 Yao W. Label switching and its solutions for frequentist mixture models Journal of Statistical Computation and Simulation. 85: 1000-1012. DOI: 10.1080/00949655.2013.859259  0.401
2015 Yu C, Chen K, Yao W. Outlier detection and robust mixture modeling using nonconvex penalized likelihood Journal of Statistical Planning and Inference. 164: 27-38. DOI: 10.1016/J.Jspi.2015.03.003  0.467
2015 Chen Y, Wang Q, Yao W. Adaptive estimation for varying coefficient models Journal of Multivariate Analysis. 137: 17-31. DOI: 10.1016/J.Jmva.2015.01.017  0.473
2014 Liu X, Xiao Q, Bai X, Yu Z, Sun M, Zhao H, Mi X, Wang E, Yao W, Jin F, Zhao L, Ren J, Wei M. Activation of STAT3 is involved in malignancy mediated by CXCL12-CXCR4 signaling in human breast cancer. Oncology Reports. 32: 2760-8. PMID 25310198 DOI: 10.3892/or.2014.3536  0.37
2014 Huang M, Li R, Wang H, Yao W. Estimating Mixture of Gaussian Processes by Kernel Smoothing. Journal of Business & Economic Statistics : a Publication of the American Statistical Association. 32: 259-270. PMID 24976675 DOI: 10.1080/07350015.2013.868084  0.47
2014 Bai X, Fu Y, Xue H, Guo K, Song Z, Yu Z, Jia T, Yan Y, Zhao L, Mi X, Wang E, Zheng Z, Zhao H, Yao W, Wei M. BRCA1 promoter hypermethylation in sporadic epithelial ovarian carcinoma: Association with low expression of BRCA1, improved survival and co-expression of DNA methyltransferases. Oncology Letters. 7: 1088-1096. PMID 24944674 DOI: 10.3892/ol.2014.1878  0.372
2014 Li W, Yang X, Xing S, Bian F, Yao W, Bai X, Zheng T, Wu G, Jin S. Endogenous ceramide contributes to the transcytosis of oxLDL across endothelial cells and promotes its subendothelial retention in vascular wall. Oxidative Medicine and Cellular Longevity. 2014: 823071. PMID 24817993 DOI: 10.1155/2014/823071  0.345
2014 Yao W, Li L. A New Regression Model: Modal Linear Regression. Scandinavian Journal of Statistics. 41: 656-671. DOI: 10.1111/Sjos.12054  0.427
2014 Yao W, Li L. An online Bayesian mixture labelling method by minimizing deviance of classification probabilities to reference labels Journal of Statistical Computation and Simulation. 84: 310-323. DOI: 10.1080/00949655.2012.707201  0.341
2014 Wang S, Yao W, Huang M. A note on the identifiability of nonparametric and semiparametric mixtures of GLMs Statistics and Probability Letters. 93: 41-45. DOI: 10.1016/J.Spl.2014.06.010  0.381
2014 Yao W, Wei Y, Yu C. Robust mixture regression using the t-distribution Computational Statistics & Data Analysis. 71: 116-127. DOI: 10.1016/J.Csda.2013.07.019  0.415
2014 Song W, Yao W, Xing Y. Robust mixture regression model fitting by Laplace distribution Computational Statistics & Data Analysis. 71: 128-137. DOI: 10.1016/J.Csda.2013.06.022  0.44
2014 Xiang S, Yao W, Wu J. Minimum profile Hellinger distance estimation for a semiparametric mixture model Canadian Journal of Statistics-Revue Canadienne De Statistique. 42: 246-267. DOI: 10.1002/Cjs.11211  0.38
2013 Ren J, Jin F, Yu Z, Zhao L, Wang L, Bai X, Zhao H, Yao W, Mi X, Wang E, Olopade OI, Wei M. MYC overexpression and poor prognosis in sporadic breast cancer with BRCA1 deficiency. Tumour Biology : the Journal of the International Society For Oncodevelopmental Biology and Medicine. 34: 3945-58. PMID 23860775 DOI: 10.1007/S13277-013-0983-9  0.38
2013 Yao W, Li R. New Local Estimation Procedure for Nonparametric Regression Function of Longitudinal Data. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 75: 123-138. PMID 23539417 DOI: 10.1111/J.1467-9868.2012.01038.X  0.448
2013 Yao W, Zhao Z. Kernel Density Based Linear Regression Estimate Communications in Statistics-Theory and Methods. 42: 4499-4512. DOI: 10.1080/03610926.2011.650269  0.439
2013 Yao W. A Simple Solution to Bayesian Mixture Labeling Communications in Statistics: Simulation and Computation. DOI: 10.1080/03610918.2012.655825  0.327
2013 Yao W. A note on EM algorithm for mixture models Statistics and Probability Letters. 83: 519-526. DOI: 10.1016/J.Spl.2012.10.017  0.36
2013 Yao W, Wang Q. Robust variable selection through MAVE Computational Statistics & Data Analysis. 63: 42-49. DOI: 10.1016/J.Csda.2013.01.021  0.425
2012 Yao W, Lindsay BG, Li R. Local Modal Regression. Journal of Nonparametric Statistics. 24: 647-663. PMID 23049230 DOI: 10.1080/10485252.2012.678848  0.473
2012 Bai X, Song Z, Fu Y, Yu Z, Zhao L, Zhao H, Yao W, Huang D, Mi X, Wang E, Zheng Z, Wei M. Clinicopathological significance and prognostic value of DNA methyltransferase 1, 3a, and 3b expressions in sporadic epithelial ovarian cancer. Plos One. 7: e40024. PMID 22768205 DOI: 10.1371/journal.pone.0040024  0.379
2012 Bai X, Jin F, Fu Y, Yu Z, Zhao L, Ren J, Li Y, Jiao X, Zhao H, Yao W, Mi X, Wang E, Olopade OI, Zhou M, Wei M. Clinicopathological significance and prognostic value of Xeroderma pigmentosum complementary group C (XPC) expression in sporadic breast cancer patients. Medical Oncology (Northwood, London, England). 29: 1543-53. PMID 22038723 DOI: 10.1007/S12032-011-0086-7  0.379
2012 Cao J, Yao W. Semiparametric Mixture Of Binomial Regression With A Degenerate Component Statistica Sinica. 22: 27-46. DOI: 10.5705/Ss.2010.062  0.48
2012 Yao W. Bayesian mixture labeling and clustering Communications in Statistics - Theory and Methods. 41: 403-421. DOI: 10.1080/03610926.2010.526741  0.315
2012 Huang M, Yao W. Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach Journal of the American Statistical Association. 107: 711-724. DOI: 10.1080/01621459.2012.682541  0.468
2012 Yao W. A bias corrected nonparametric regression estimator Statistics and Probability Letters. 82: 274-282. DOI: 10.1016/J.Spl.2011.10.006  0.434
2012 Wang Q, Yao W. An adaptive estimation of MAVE Journal of Multivariate Analysis. 104: 88-100. DOI: 10.1016/J.Jmva.2011.07.001  0.441
2012 Bai X, Yao W, Boyer JE. Robust fitting of mixture regression models Computational Statistics & Data Analysis. 56: 2347-2359. DOI: 10.1016/J.Csda.2012.01.016  0.483
2012 Yao W. Model based labeling for mixture models Statistics and Computing. 22: 337-347. DOI: 10.1007/S11222-010-9226-8  0.354
2012 Lindsay BG, Yao W. Fisher information matrix: A tool for dimension reduction, projection pursuit, independent component analysis, and more Canadian Journal of Statistics. 40: 712-730. DOI: 10.1002/Cjs.11166  0.328
2012 Zhao Z, Yao W. Sequential design for nonparametric inference. Canadian Journal of Statistics-Revue Canadienne De Statistique. 40: 362-377. DOI: 10.1002/Cjs.11128  0.312
2011 Song W, Yao W. A lack-of-fit test in Tobit errors-in-variables regression models Statistics & Probability Letters. 81: 1792-1801. DOI: 10.1016/J.Spl.2011.07.015  0.366
2010 Yao W. A profile likelihood method for normal mixture with unequal variance Journal of Statistical Planning and Inference. 140: 2089-2098. DOI: 10.1016/J.Jspi.2010.02.004  0.405
2009 Yao W, Lindsay BG. Bayesian mixture labeling by highest posterior density Journal of the American Statistical Association. 104: 758-767. DOI: 10.1198/Jasa.2009.0237  0.334
1996 Tong QS, Xia GJ, Yao WX, Jiang MX, Bai XC, Bao YD. [Blocking effects of benzyltetrahydropalmatine on delayed rectified K+ currents expressed in Xenopus oocytes and in toad oocytes]. Yao Xue Xue Bao = Acta Pharmaceutica Sinica. 31: 867-71. PMID 9863258  0.351
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