Weixin Yao

According to our database, Weixin Yao authored at least 35 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A new bandwidth selection method for nonparametric modal regression based on generalized hyperbolic distributions.

Hongpeng Yuan, Sijia Xiang, Weixin Yao

Comput. Stat., June, 2024

Supervised Matrix Factorization: Local Landscape Analysis and Applications.

Joowon Lee, Hanbaek Lyu, Weixin Yao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm.

Bo Kai, Mian Huang, Weixin Yao, Yuexiao Dong

J. Comput. Graph. Stat., 2023

Exponentially Convergent Algorithms for Supervised Matrix Factorization.

Joowon Lee, Hanbaek Lyu, Weixin Yao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A Fast Inter-prediction Mode Decision Algorithm for HEVC Based on Spatial-Temporal Correlation.

Weixin Yao, Dan Yang

J. Inf. Process. Syst., 2022

Nonparametric statistical learning based on modal regression.

Sijia Xiang, Weixin Yao

J. Comput. Appl. Math., 2022

Robust estimation and outlier detection for varying-coefficient models via penalized regression.

Guangren Yang, Sijia Xiang, Weixin Yao, Lin Xu

Commun. Stat. Simul. Comput., 2022

A new class of multivariate goodness of fit tests for multivariate normal mixtures.

Supawadee Wichitchan, Weixin Yao, Chun Yu

Commun. Stat. Simul. Comput., 2022

Supervised Dictionary Learning with Auxiliary Covariates.

Joowon Lee, Hanbaek Lyu, Weixin Yao

CoRR, 2022

Special issue on "Models and learning for clustering and Classification".

Salvatore Ingrassia, Julien Jacques, Weixin Yao

Adv. Data Anal. Classif., 2022

Editorial for ADAC issue 1 of volume 16 (2022).

Salvatore Ingrassia, Julien Jacques, Weixin Yao

Adv. Data Anal. Classif., 2022

2021

Regression estimation via information-weighted composite models with different dimensions.

Mian Huang, Kang He, Weixin Yao

Commun. Stat. Simul. Comput., 2021

2020

Pursuing Sources of Heterogeneity in Modeling Clustered Population.

Yan Li, Chun Yu, Yize Zhao, Robert H. Aseltine, Weixin Yao, Kun Chen

CoRR, 2020

Semiparametric mixtures of regressions with single-index for model based clustering.

Sijia Xiang, Weixin Yao

Adv. Data Anal. Classif., 2020

2019

Robust maximum Lq-likelihood estimation of joint mean-covariance models for longitudinal data.

Lin Xu, Sijia Xiang, Weixin Yao

J. Multivar. Anal., 2019

Hypothesis testing for finite mixture models.

Supawadee Wichitchan, Weixin Yao, Guangren Yang

Comput. Stat. Data Anal., 2019

Estimation of Behind-the-Meter Solar Generation by Integrating Physical with Statistical Models.

Farzana Kabir, Nanpeng Yu, Weixin Yao, Rui Yang, Yingchen Zhang

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2017

Robust linear regression: A review and comparison.

Chun Yu, Weixin Yao

Commun. Stat. Simul. Comput., 2017

Robust fitting of mixtures of factor analyzers using the trimmed likelihood estimator.

Li Yang, Sijia Xiang, Weixin Yao

Commun. Stat. Simul. Comput., 2017

Relabel mixture models via modal clustering.

Qiang Wu, Weixin Yao

Commun. Stat. Simul. Comput., 2017

The robust EM-type algorithms for log-concave mixtures of regression models.

Hao Hu, Weixin Yao, Yichao Wu

Comput. Stat. Data Anal., 2017

2016

Robust estimation of the number of components for mixtures of linear regression models.

Meng Li, Sijia Xiang, Weixin Yao

Comput. Stat., 2016

Semiparametric mixture: Continuous scale mixture approach.

Sijia Xiang, Weixin Yao, Byungtae Seo

Comput. Stat. Data Anal., 2016

Mixtures of quantile regressions.

Qiang Wu, Weixin Yao

Comput. Stat. Data Anal., 2016

Mixture of functional linear models and its application to CO₂-GDP functional data.

Shaoli Wang, Mian Huang, Xing Wu, Weixin Yao

Comput. Stat. Data Anal., 2016

Maximum likelihood estimation of the mixture of log-concave densities.

Hao Hu, Yichao Wu, Weixin Yao

Comput. Stat. Data Anal., 2016

2015

Adaptive estimation for varying coefficient models.

Yixin Chen, Qin Wang, Weixin Yao

J. Multivar. Anal., 2015

2014

Robust mixture regression using the t-distribution.

Weixin Yao, Yan Wei, Chun Yu

Comput. Stat. Data Anal., 2014

Robust mixture regression model fitting by Laplace distribution.

Weixing Song, Weixin Yao, Yanru Xing

Comput. Stat. Data Anal., 2014

2013

A Simple Solution to Bayesian Mixture Labeling.

Weixin Yao

Commun. Stat. Simul. Comput., 2013

Robust variable selection through MAVE.

Weixin Yao, Qin Wang

Comput. Stat. Data Anal., 2013

2012

Model based labeling for mixture models.

Weixin Yao

Stat. Comput., 2012

An adaptive estimation of MAVE.

Qin Wang, Weixin Yao

J. Multivar. Anal., 2012

Robust fitting of mixture regression models.

Xiuqin Bai, Weixin Yao, John E. Boyer

Comput. Stat. Data Anal., 2012

2005

Interoperability: an indispensable propellant of e-China.

Weixin Yao

Int. J. Serv. Stand., 2005