W. Yao

发表

A New Regression Model: Modal Linear Regression

W. Yao, Longhai Li, 2014 .

Bayesian Mixture Labeling and Clustering

W. Yao, 2012 .

Fully Bayesian Classification with Heavy-tailed Priors for Selection in High-dimensional Features with Grouping Structure

W. Yao, Longhai Li, Lai Jiang, 2016, 1607.00098.

Fisher information matrix: A tool for dimension reduction, projection pursuit, independent component analysis, and more

B. Lindsay, W. Yao, 2012 .

Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach

W. Yao, Mian Huang, 2012 .

Minimum profile Hellinger distance estimation for a semiparametric mixture model

W. Yao, Jingjing Wu, Sijia Xiang, 2014 .

Semiparametric hidden Markov model with non-parametric regression

W. Yao, Mian Huang, Qinghua Ji, 2018 .

Semiparametric mixture regression with unspecified error distributions

Weixin Yao, Yanyuan Ma, Lin Xu, 2018, TEST.

High-dimensional Feature Selection Using Hierarchical Bayesian Logistic Regression with Heavy-tailed Priors

W. Yao, Longhai Li, 2013, 1308.4690.

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

W. Yao, Longhai Li, 2014 .

Communications in Statistics-Simulation and Computation

W. Yao, 2012 .

Title Bayesian mixture labeling and clustering

W. Yao, 2012 .

Bayesian Mixture Labeling by Minimizing Deviance of Classification Probabilities to Reference Labels

W. Yao, Longhai Li, 2012 .

New local estimation procedure for a non‐parametric regression function for longitudinal data

Runze Li, Weixin Yao, Runze Li, 2013, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Outlier detection and robust mixture modeling using nonconvex penalized likelihood

W. Yao, Kun Chen, Chun Yu, 2015 .

Title Outlier detection and robust mixture modeling using nonconvex penalized likelihood Permalink

W. Yao, Kun Chen, Chun Yu, 2015 .

Mixture of Regression Models with Single-Index

W. Yao, Sijia Xiang, 2016, 1602.06610.

Semiparametric mixtures of nonparametric regressions

W. Yao, Sijia Xiang, 2018 .

Estimating Mixture of Gaussian Processes by Kernel Smoothing

Runze Li, W. Yao, Hansheng Wang, 2013, Journal of business & economic statistics : a publication of the American Statistical Association.

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

W. Yao, Shaoli Wang, Mian Huang, 2014 .

Base-Calling Using a Random Effects Mixture Model on Next-Generation Sequencing Data

W. Yao, Xinping Cui, Ashley Cacho, 2018 .

Sample size calculations for mixture alternatives in a control group vs. treatment group design

W. Yao, D. Jeske, 2020 .

Impact of aerosols on reservoir inflow: A case study for Big Creek Hydroelectric System in California

Jonathan H. Jiang, W. Yao, Y. Gu, 2018, Hydrological processes.

SEMIPARAMETRIC MIXTURE OF BINOMIAL REGRESSION WITH A DEGENERATE COMPONENT

W. Yao, J. Cao, J. Cao, 2012 .

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

W. Yao, Guangren Yang, Sijia Xiang, 2020, Commun. Stat. Simul. Comput..

Title Mixtures of quantile regressions

W. Yao, Qiang Wu, 2014 .

Sure independence screening in ultrahigh dimensional generalized additive models

W. Yao, Guangren Yang, Sijia Xiang, 2019, Journal of Statistical Planning and Inference.

Title Robust variable selection through MAVE Permalink

W. Yao, Qin Wang, 2013 .

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

W. Yao, Yanyuan Ma, 2015 .

An Overview of Semiparametric Extensions of Finite Mixture Models

W. Yao, Guangren Yang, Sijia Xiang, 2018, Statistical Science.

A simple root selection method for univariate finite normal mixture models

W. Yao, Guangren Yang, Supawadee Wichitchan, 2018, Communications in Statistics - Theory and Methods.

Title High-dimensional Feature Selection Using Hierarchical Bayesian Logistic Regression with Heavy-tailed Priors Permalink

W. Yao, 2013 .

Adaptive Estimation for Varying 1 Coefficient Models 2

W. Yao, Qin Wang, Yixin Chen, 2015 .

Statistical Inference for Varying Coefficient Models Statistical Inference for Varying Coefficient Models

W. Yao, Yixin Chen, 2014 .

Communications in Statistics-Theory and Methods

W. Yao, Zhibiao Zhao, 2013 .

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

Lin Xu, Weixin Yao, Sijia Xiang, 2019, J. Multivar. Anal..

Designing one-sided group sequential clinical trials to detect a mixture alternative

W. Yao, A. SenGupta, D. Jeske, 2018 .

Supervised Dictionary Learning with Auxiliary Covariates

W. Yao, Hanbaek Lyu, Joowon Lee, 2022, 2206.06774.

SEMIPARAMETRIC MIXTURE OF BINOMIAL REGRESSION WITH A DEGENERATE COMPONENT

W. Yao, J. Cao, J. Cao, 2011 .

A Selective Overview of Semiparametric Mixture of Regression Models

W. Yao, Sijia Xiang, 2018 .

Nonlinear modal regression for dependent data with application for predicting COVID‐19

A. Ullah, W. Yao, Tao Wang, 2022, Journal of the Royal Statistical Society. Series A,.

A Note On the Identi(cid:12)ability of Nonparametric and Semiparametric Mixtures of GLMs

W. Yao, Shaoli Wang, Mian Huang, 2014 .

Efficient and Robust Estimation of A Semiparametric Mixture Model

W. Yao, Jingjing Wu, Sijia Xiang, 2012 .

Supervised Dictionary Learning with Auxiliary Covariates

W. Yao, Hanbaek Lyu, Joo-Hyun Lee, 2022, ArXiv.

On the Robust Modal Local Polynomial Regression

W. Yao, Weixing Song, Haiyan Wang, 2009 .

Title Robust fitting of mixtures of factor analyzers using the trimmed likelihood estimator Permalink

W. Yao, Li Yang, Li Yang, 2014 .

Statistical inference for normal mixtures with unknown number of components

W. Yao, Mian Huang, Shiyi Tang, 2022, Electronic Journal of Statistics.

Sequential design for nonparametric inference

W. Yao, Zhibiao Zhao, 2012 .

Statistical Inference for Method of Moments Estimators of a Semi-Supervised Two-Component Mixture Model

W. Yao, D. Jeske, Bradley Lubich, 2022, The American Statistician.

Modal regression for fixed effects panel data

A. Ullah, W. Yao, Tao Wang, 2021, Empirical Economics.

Statistical inference for the nonparametric and semiparametric hidden Markov model via the composite likelihood approach

W. Yao, Mian Huang, Yue-Lieh Huang, 2022, Science China Mathematics.

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

W. Yao, Sijia Xiang, Meng Li, 2015, Computational Statistics.

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

W. Yao, Sijia Xiang, 2020, Advances in Data Analysis and Classification.

ESTIMATION FOR EXTREME CONDITIONAL QUANTILES OF FUNCTIONAL QUANTILE REGRESSION

W. Yao, Yehua Li, Riquan Zhang, 2021 .

Relabel mixture models via modal clustering

Qiang Wu, Weixin Yao, W. Yao, 2015, Commun. Stat. Simul. Comput..

Mixtures of Linear Regression with Measurement Errors

W. Yao, Weixing Song, 2015 .

Regularized Factor Portfolio for Cross-sectional Multifactor Models

W. Yao, Mian Huang, Shangbing Yu, 2020, Sankhya A.

A new method for robust mixture regression

Weixin Yao, Chun Yu, Kun Chen, 2017, The Canadian journal of statistics = Revue canadienne de statistique.

Robust mixture regression model fitting by Laplace distribution

Weixin Yao, Weixing Song, Yanru Xing, 2014, Comput. Stat. Data Anal..

Base-Calling Using a Random Effects Mixture Model on Next-Generation Sequencing Data

W. Yao, Xinping Cui, Ashley Cacho, 2017, Statistics in Biosciences.

Bayesian Hyper-LASSO Classification for Feature Selection with Application to Endometrial Cancer RNA-seq Data

Celia M. T. Greenwood, Lai Jiang, Weixin Yao, 2020, Scientific Reports.

Method of Moments Confidence Intervals for a Semi-Supervised Two-Component Mixture Model

Weixin Yao, Bradley Lubich, Daniel Jeske, 2021, 2107.06503.

Fully Bayesian logistic regression with hyper-LASSO priors for high-dimensional feature selection

Weixin Yao, Longhai Li, W. Yao, 2014, Journal of Statistical Computation and Simulation.

A profile likelihood method for normal mixture with unequal variance

Weixin Yao, W. Yao, 2010 .

Extreme quantile estimation for partial functional linear regression models with heavy‐tailed distributions

W. Yao, Yehua Li, Riquan Zhang, 2021, Canadian Journal of Statistics.

Semiparametric mixture: Continuous scale mixture approach

Weixin Yao, Sijia Xiang, Byungtae Seo, 2016, Comput. Stat. Data Anal..

Modal regression for fixed effects panel data

A. Ullah, W. Yao, Tao Wang, 2021 .

Statistical Inference and Applications of Mixture of Varying Coefficient Models

W. Yao, Shaoli Wang, Mian Huang, 2018 .

Robust fitting of mixture regression models

Weixin Yao, John E. Boyer, Xiuqin Bai, 2012, Comput. Stat. Data Anal..

Nonparametric statistical learning based on modal regression

W. Yao, Sijia Xiang, 2022, J. Comput. Appl. Math..

Two-stage prediction in linear models

W. Yao, Esra Kürüm, D. Jeske, 2018, Sequential Analysis.

Nonparametric and Varying Coefficient Modal Regression

Weixin Yao, Sijia Xiang, W. Yao, 2016, 1602.06609.

An adaptive estimation of MAVE

Qin Wang, Weixin Yao, W. Yao, 2012, J. Multivar. Anal..

TIME-VARYING COEFFICIENT MODELS FOR JOINT MODELING BINARY AND CONTINUOUS OUTCOMES IN LONGITUDINAL DATA.

Runze Li, Weixin Yao, Esra Kürüm, 2016, Statistica Sinica.

Robust linear regression: A review and comparison

Weixin Yao, Chun Yu, W. Yao, 2014, Commun. Stat. Simul. Comput..

A Selective Overview and Comparison of Robust Mixture Regression Estimators

W. Yao, Guangren Yang, Chun Yu, 2019, International Statistical Review.

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

Hao Hu, Yichao Wu, Weixin Yao, 2017, Comput. Stat. Data Anal..

Mixture of linear mixed models using multivariate t distribution

W. Yao, Kun Chen, Xiuqin Bai, 2016 .

Robust mixture regression using the t-distribution

Chun Yu, Yan Wei, Weixin Yao, 2014, Comput. Stat. Data Anal..

Pursuing sources of heterogeneity in modeling clustered population pdf

Chun Yu, Kun Chen, Weixin Yao, 2020, Biometrics.

A Stochastic Restricted Maximum Likelihood Method for Genomic Selection and Genome-Wide Association Studies

W. Yao, Shizhong Xu, Shibo Wang, 2019 .

Local modal regression

Runze Li, Weixin Yao, Bruce G Lindsay, 2012, Journal of nonparametric statistics.

A Robust Segmented Mixed Effect Regression Model for Baseline Electricity Consumption Forecasting

Nanpeng Yu, Weixin Yao, Yuanqi Gao, 2020, Journal of Modern Power Systems and Clean Energy.

A Likelihood Ratio Test of a Homoscedastic Multivariate Normal Mixture Against a Heteroscedastic Multivariate Normal Mixture

Weixin Yao, Lin Cong, W. Yao, 2021 .

Bayesian Mixture Labeling by Highest Posterior Density

B. Lindsay, W. Yao, 2009 .

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

Xing Wu, Shaoli Wang, Weixin Yao, 2016, Comput. Stat. Data Anal..

Estimating Mixture of Gaussian Processes by Kernel Smoothing

Hansheng Wang, Runze Li, Weixin Yao, 2013, Journal of business & economic statistics : a publication of the American Statistical Association.

Regression estimation via information-weighted composite models with different dimensions

Weixin Yao, Mian Huang, Kang He, 2019, Commun. Stat. Simul. Comput..

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

Li Yang, Weixin Yao, Sijia Xiang, 2017, Commun. Stat. Simul. Comput..

A Simple Solution to Bayesian Mixture Labeling

Weixin Yao, W. Yao, 2013, Commun. Stat. Simul. Comput..

A lack-of-fit test in Tobit errors-in-variables regression models

W. Yao, Weixing Song, 2011 .

Label switching and its solutions for frequentist mixture models

Weixin Yao, W. Yao, 2015 .

Model based labeling for mixture models

Weixin Yao, W. Yao, 2012, Stat. Comput..

Forecast load impact from demand response resources

Nanpeng Yu, Weixin Yao, Raymond Johnson, 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

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

Weixin Yao, Sijia Xiang, W. Yao, 2017, Advances in Data Analysis and Classification.

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

W. Yao, Yanyuan Ma, 2015 .

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

W. Yao, Chun Yu, Supawadee Wichitchan, 2020, Commun. Stat. Simul. Comput..

Robust Model Selection for Finite Mixture of Regression Models Through Trimming

Weixin Yao, Sijia Xiang, W. Yao, 2019, 1905.01036.

Hypothesis testing for finite mixture models

Weixin Yao, Guangren Yang, Supawadee Wichitchan, 2019, Comput. Stat. Data Anal..

Computation of an efficient and robust estimator in a semiparametric mixture model

W. Yao, Jingjing Wu, Sijia Xiang, 2017 .

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

Meng Li, Weixin Yao, Sijia Xiang, 2016, Comput. Stat..

Maximum likelihood estimation of the mixture of log-concave densities

Hao Hu, Yichao Wu, Weixin Yao, 2016, Comput. Stat. Data Anal..

A note on EM algorithm for mixture models

Weixin Yao, W. Yao, 2013 .

Mixtures of quantile regressions

Qiang Wu, Weixin Yao, W. Yao, 2016, Comput. Stat. Data Anal..

A bias corrected nonparametric regression estimator

W. Yao, 2012 .

Joint Estimation of Behind-the-Meter Solar Generation in a Community

Yingchen Zhang, Rui Yang, Weixin Yao, 2021, IEEE Transactions on Sustainable Energy.

Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm

W. Yao, Yuexiao Dong, Bo Kai, 2023, Journal of Computational and Graphical Statistics.

Maximum Likelihood Estimation of a Semiparametric Two-component Mixture Model using Log-concave Approximation

W. Yao, Yangmei Zhou, 2019, 1903.11200.

Label switching and its solutions for frequentist mixture models

W. Yao, 2015 .

Energy Efficient Building HVAC Control Algorithm with Real-time Occupancy Prediction

Nanpeng Yu, Jie Shi, Weixin Yao, 2017 .

Robust variable selection through MAVE

Qin Wang, Weixin Yao, W. Yao, 2013, Comput. Stat. Data Anal..

Adaptive estimation for varying coefficient models

Yixin Chen, Qin Wang, Weixin Yao, 2015, J. Multivar. Anal..

Kernel Density-Based Linear Regression Estimate

Weixin Yao, Zhibiao Zhao, W. Yao, 2013 .

Evaluating the Effectiveness of Conservation Voltage Reduction with Multilevel Robust Regression

Nanpeng Yu, Weixin Yao, Raymond Johnson, 2018, 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).

Robust fitting of mixture regression models

W. Yao, J. Boyer, Xiuqin Bai, 2012, Comput. Stat. Data Anal..

Unified Inference for Sparse and Dense Longitudinal Data in Time‐varying Coefficient Models

W. Yao, Yixin Chen, 2017 .

Improving robustness of case-based reasoning for early-stage construction cost estimation

W. Yao, M. Skitmore, Xue Xiao, 2023, Automation in Construction.

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

W. Yao, Mian Huang, Xing Wu, 2016, Comput. Stat. Data Anal..