Weixin Yao - Dissemin

Dissemin is shutting down on January 1st, 2025

Language
Login

Papers authored by Weixin Yao

This paper is made freely available by the publisher.

2016 Hao Hu, Yichao Wu, Weixin Yao

ORCID

Maximum likelihood estimation of the mixture of log-concave densities

Download from manuscript.elsevier.com

This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Weixin Yao

ORCID

, Sijia Xiang

Nonparametric and Varying Coefficient Modal Regression

Upload

This paper is available in a repository.

Qiang Wu, Weixin Yao

ORCID

Mixtures of quantile regressions

Download from cloudfront.escholarship.org

This paper is available in a repository.

Esra Kurum, Runze Li, Saul Shiffman, Weixin Yao

ORCID

Time-varying coefficient models for joint modeling binary and continuous outcomes in longitudinal data

Download from cloudfront.escholarship.org

This paper was not found in any repository, but could be made available legally by the author.

2015 Qiang Wu, Weixin Yao

ORCID

Relabel Mixture Models via Modal Clustering

Upload

This paper is available in a repository.

Meng Li, Sijia Xiang, Weixin Yao

ORCID

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

Download from cloudfront.escholarship.org

This paper is available in a repository.

Yixin Chen, Qin Wang, Weixin Yao

ORCID

Adaptive estimation for varying coefficient models

Download from cloudfront.escholarship.org

This paper is available in a repository.

Xiuqin Bai, Kun Chen, Weixin Yao

ORCID

Mixture of linear mixed models using multivariate t distribution

Download from cloudfront.escholarship.org

This paper is available in a repository.

Li Yang, Sijia Xiang, Weixin Yao

ORCID

Robust Fitting of Mixtures of Factor Analyzers Using the Trimmed Likelihood Estimator

Download from cloudfront.escholarship.org

This paper is made freely available by the publisher.

Yanyuan Ma, Weixin Yao

ORCID

Flexible estimation of a semiparametric two-component mixture model with one parametric component

Download from dx.doi.org

This paper is available in a repository.

2014 Weixin Yao

ORCID

, Weixing Song

Mixtures of Linear Regression with Measurement Errors

Download from cloudfront.escholarship.org

This paper is available in a repository.

Shaoli Wang, Weixin Yao

ORCID

, Mian Huang

A note on the identifiability of nonparametric and semiparametric mixtures of GLMs

Download from cloudfront.escholarship.org

This paper is available in a repository.

Longhai Li

ORCID

, Weixin Yao

ORCID

Fully Bayesian Logistic Regression with Hyper-Lasso Priors for High-dimensional Feature Selection

Download from arxiv.org

This paper was not found in any repository, but could be made available legally by the author.

Weixin Yao

ORCID

, Yan Wei, Chun Yu

Robust mixture regression using the t-distribution

Upload

This paper is available in a repository.

Weixin Yao

ORCID

ORCID

An online Bayesian mixture labelling method by minimizing deviance of classification probabilities to reference labels

Download from cloudfront.escholarship.org

This paper is available in a repository.

Weixing Song, Weixin Yao

ORCID

, Yanru Xing

Robust mixture regression model fitting by Laplace distribution

Download from cloudfront.escholarship.org

This paper was not found in any repository; the policy of its publisher is unknown or unclear.

W. Yao

ORCID

, Y. Li, C. Feng, G. Lu, X. Huang

Synthesis of amphiphilic ABA triblock copolymer bearing PIB and perfluorocyclobutyl aryl ether-containing segments via sequential living carbocationic polymerization …

Upload

This paper was not found in any repository; the policy of its publisher is unknown or unclear.

S. Xiang, W. Yao

ORCID

, J. Wu

Minimum profile Hellinger distance estimation for a semiparametric mixture model

Upload

This paper is available in a repository.

2013 Weixin Yao

ORCID

Label switching and its solutions for frequentist mixture models

Download from cloudfront.escholarship.org

This paper is available in a repository.

Weixin Yao

ORCID

ORCID

A New Regression Model: Modal Linear Regression

Download from cloudfront.escholarship.org

Missing publications? Search for publications with a matching author name.