Weixin Yao

Orcid: 0000-0001-5925-5081

According to our database1, Weixin Yao authored at least 32 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Exponentially Convergent Algorithms for Supervised Matrix Factorization.
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.
J. Inf. Process. Syst., 2022

Nonparametric statistical learning based on modal regression.
J. Comput. Appl. Math., 2022

Robust estimation and outlier detection for varying-coefficient models via penalized regression.
Commun. Stat. Simul. Comput., 2022

A new class of multivariate goodness of fit tests for multivariate normal mixtures.
Commun. Stat. Simul. Comput., 2022

Supervised Dictionary Learning with Auxiliary Covariates.
CoRR, 2022

Special issue on "Models and learning for clustering and Classification".
Adv. Data Anal. Classif., 2022

Editorial for ADAC issue 1 of volume 16 (2022).
Adv. Data Anal. Classif., 2022

2021
Regression estimation via information-weighted composite models with different dimensions.
Commun. Stat. Simul. Comput., 2021

2020
Pursuing Sources of Heterogeneity in Modeling Clustered Population.
CoRR, 2020

Semiparametric mixtures of regressions with single-index for model based clustering.
Adv. Data Anal. Classif., 2020

2019
Robust maximum Lq-likelihood estimation of joint mean-covariance models for longitudinal data.
J. Multivar. Anal., 2019

Hypothesis testing for finite mixture models.
Comput. Stat. Data Anal., 2019

Estimation of Behind-the-Meter Solar Generation by Integrating Physical with Statistical Models.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2017
Robust linear regression: A review and comparison.
Commun. Stat. Simul. Comput., 2017

Robust fitting of mixtures of factor analyzers using the trimmed likelihood estimator.
Commun. Stat. Simul. Comput., 2017

Relabel mixture models via modal clustering.
Commun. Stat. Simul. Comput., 2017

The robust EM-type algorithms for log-concave mixtures of regression models.
Comput. Stat. Data Anal., 2017

2016
Robust estimation of the number of components for mixtures of linear regression models.
Comput. Stat., 2016

Semiparametric mixture: Continuous scale mixture approach.
Comput. Stat. Data Anal., 2016

Mixtures of quantile regressions.
Comput. Stat. Data Anal., 2016

Mixture of functional linear models and its application to CO<sub>2</sub>-GDP functional data.
Comput. Stat. Data Anal., 2016

Maximum likelihood estimation of the mixture of log-concave densities.
Comput. Stat. Data Anal., 2016

2015
Adaptive estimation for varying coefficient models.
J. Multivar. Anal., 2015

2014
Robust mixture regression using the t-distribution.
Comput. Stat. Data Anal., 2014

Robust mixture regression model fitting by Laplace distribution.
Comput. Stat. Data Anal., 2014

2013
A Simple Solution to Bayesian Mixture Labeling.
Commun. Stat. Simul. Comput., 2013

Robust variable selection through MAVE.
Comput. Stat. Data Anal., 2013

2012
Model based labeling for mixture models.
Stat. Comput., 2012

An adaptive estimation of MAVE.
J. Multivar. Anal., 2012

Robust fitting of mixture regression models.
Comput. Stat. Data Anal., 2012

2005
Interoperability: an indispensable propellant of e-China.
Int. J. Serv. Stand., 2005


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