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Weixin Yao
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2020 – today
- 2024
- [j30]Hongpeng Yuan, Sijia Xiang
, Weixin Yao:
A new bandwidth selection method for nonparametric modal regression based on generalized hyperbolic distributions. Comput. Stat. 39(4): 1729-1746 (2024) - [c3]Joowon Lee, Hanbaek Lyu, Weixin Yao:
Supervised Matrix Factorization: Local Landscape Analysis and Applications. ICML 2024 - 2023
- [j29]Bo Kai, Mian Huang, Weixin Yao
Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm. J. Comput. Graph. Stat. 32(4): 1613-1623 (2023) - [c2]Joowon Lee, Hanbaek Lyu, Weixin Yao:
Exponentially Convergent Algorithms for Supervised Matrix Factorization. NeurIPS 2023 - [i3]Joowon Lee, Hanbaek Lyu, Weixin Yao:
Exponentially Convergent Algorithms for Supervised Matrix Factorization. CoRR abs/2311.11182 (2023) - 2022
- [j28]Salvatore Ingrassia, Julien Jacques, Weixin Yao:
Editorial for ADAC issue 1 of volume 16 (2022). Adv. Data Anal. Classif. 16(1): 1-3 (2022) - [j27]Salvatore Ingrassia, Julien Jacques, Weixin Yao:
Special issue on "Models and learning for clustering and Classification". Adv. Data Anal. Classif. 16(2): 231-234 (2022) - [j26]Guangren Yang, Sijia Xiang, Weixin Yao, Lin Xu:
Robust estimation and outlier detection for varying-coefficient models via penalized regression. Commun. Stat. Simul. Comput. 51(10): 5845-5856 (2022) - [j25]Supawadee Wichitchan
A new class of multivariate goodness of fit tests for multivariate normal mixtures. Commun. Stat. Simul. Comput. 51(11): 6635-6648 (2022) - [j24]Sijia Xiang
Nonparametric statistical learning based on modal regression. J. Comput. Appl. Math. 409: 114130 (2022) - [j23]Weixin Yao, Dan Yang:
A Fast Inter-prediction Mode Decision Algorithm for HEVC Based on Spatial-Temporal Correlation. J. Inf. Process. Syst. 18(2): 235-244 (2022) - [i2]Joowon Lee, Hanbaek Lyu, Weixin Yao:
Supervised Dictionary Learning with Auxiliary Covariates. CoRR abs/2206.06774 (2022) - 2021
- [j22]Mian Huang, Kang He, Weixin Yao:
Regression estimation via information-weighted composite models with different dimensions. Commun. Stat. Simul. Comput. 50(6): 1613-1621 (2021) - 2020
- [j21]Sijia Xiang
Semiparametric mixtures of regressions with single-index for model based clustering. Adv. Data Anal. Classif. 14(2): 261-292 (2020) - [i1]Yan Li, Chun Yu, Yize Zhao, Robert H. Aseltine, Weixin Yao, Kun Chen:
Pursuing Sources of Heterogeneity in Modeling Clustered Population. CoRR abs/2003.04787 (2020)
2010 – 2019
- 2019
- [j20]Supawadee Wichitchan
Hypothesis testing for finite mixture models. Comput. Stat. Data Anal. 132: 180-189 (2019) - [j19]Lin Xu, Sijia Xiang
Robust maximum Lq-likelihood estimation of joint mean-covariance models for longitudinal data. J. Multivar. Anal. 171: 397-411 (2019) - [c1]Farzana Kabir, Nanpeng Yu
Estimation of Behind-the-Meter Solar Generation by Integrating Physical with Statistical Models. SmartGridComm 2019: 1-6 - 2017
- [j18]Hao Hu, Weixin Yao, Yichao Wu:
The robust EM-type algorithms for log-concave mixtures of regression models. Comput. Stat. Data Anal. 111: 14-26 (2017) - [j17]Li Yang, Sijia Xiang, Weixin Yao:
Robust fitting of mixtures of factor analyzers using the trimmed likelihood estimator. Commun. Stat. Simul. Comput. 46(2): 1280-1291 (2017) - [j16]Qiang Wu, Weixin Yao:
Relabel mixture models via modal clustering. Commun. Stat. Simul. Comput. 46(5): 3406-3418 (2017) - [j15]Chun Yu, Weixin Yao:
Robust linear regression: A review and comparison. Commun. Stat. Simul. Comput. 46(8): 6261-6282 (2017) - 2016
- [j14]Qiang Wu, Weixin Yao:
Mixtures of quantile regressions. Comput. Stat. Data Anal. 93: 162-176 (2016) - [j13]Shaoli Wang, Mian Huang, Xing Wu, Weixin Yao:
Mixture of functional linear models and its application to CO2-GDP functional data. Comput. Stat. Data Anal. 97: 1-15 (2016) - [j12]Hao Hu, Yichao Wu, Weixin Yao:
Maximum likelihood estimation of the mixture of log-concave densities. Comput. Stat. Data Anal. 101: 137-147 (2016) - [j11]Sijia Xiang, Weixin Yao, Byungtae Seo:
Semiparametric mixture: Continuous scale mixture approach. Comput. Stat. Data Anal. 103: 413-425 (2016) - [j10]Meng Li, Sijia Xiang, Weixin Yao:
Robust estimation of the number of components for mixtures of linear regression models. Comput. Stat. 31(4): 1539-1555 (2016) - 2015
- [j9]Yixin Chen, Qin Wang, Weixin Yao:
Adaptive estimation for varying coefficient models. J. Multivar. Anal. 137: 17-31 (2015) - 2014
- [j8]Weixin Yao, Yan Wei, Chun Yu:
Robust mixture regression using the t-distribution. Comput. Stat. Data Anal. 71: 116-127 (2014) - [j7]Weixing Song, Weixin Yao, Yanru Xing:
Robust mixture regression model fitting by Laplace distribution. Comput. Stat. Data Anal. 71: 128-137 (2014) - 2013
- [j6]Weixin Yao, Qin Wang:
Robust variable selection through MAVE. Comput. Stat. Data Anal. 63: 42-49 (2013) - [j5]Weixin Yao:
A Simple Solution to Bayesian Mixture Labeling. Commun. Stat. Simul. Comput. 42(4): 800-813 (2013) - 2012
- [j4]Xiuqin Bai, Weixin Yao, John E. Boyer:
Robust fitting of mixture regression models. Comput. Stat. Data Anal. 56(7): 2347-2359 (2012) - [j3]Qin Wang, Weixin Yao:
An adaptive estimation of MAVE. J. Multivar. Anal. 104(1): 88-100 (2012) - [j2]Weixin Yao:
Model based labeling for mixture models. Stat. Comput. 22(2): 337-347 (2012)
2000 – 2009
- 2005
- [j1]Weixin Yao:
Interoperability: an indispensable propellant of e-China. Int. J. Serv. Stand. 1(4): 446-452 (2005)
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