Personal information

Activities

Employment (4)

University of California Riverside: Riverside, CA, US

2019-07-01 to present | Professor (Statistics)
Employment
Source: Self-asserted source
Weixin Yao

University of California, Riverside: Riverside, CA, US

2014-07-01 to 2019-06-30 | Associate Professor (Statistics)
Employment
Source: Self-asserted source
Weixin Yao

Kansas State University: Manhattan, Kansas, US

2013-07-01 to 2014-06-30 | Associate Professor (Statistics)
Employment
Source: Self-asserted source
Weixin Yao

Kasas State University: Manhattan, Kansas, US

2007-07 to 2013-06 | Assistant Professor (Statistics)
Employment
Source: Self-asserted source
Weixin Yao

Funding (1)

Collaborative Research: Information Matrix Analysis for Nonparametric Multivariate Problems

2014-08-15 to 2017-07-31 | Grant
National Science Foundation (n/a, US)
GRANT_NUMBER: 1461677
GRANT_NUMBER: 1461677
Source: Self-asserted source
Weixin Yao via DimensionsWizard

Works (50 of 88)

Items per page:
Page 1 of 2

Pursuing homogeneity and sparsity in simultaneous quantile regression

Journal of Computational and Graphical Statistics
2025-02-05 | Journal article
Contributors: Zhen Zeng; Weixin Yao
Source: check_circle
Crossref

Online Kernel-Based Mode Learning

Journal of Computational and Graphical Statistics
2025-01-27 | Journal article
Contributors: Tao Wang; Weixin Yao
Source: check_circle
Crossref

Semiparametric efficient estimation in high‐dimensional partial linear regression models

Scandinavian Journal of Statistics
2024-09 | Journal article
Contributors: Xinyu Fu; Mian Huang; Weixin Yao
Source: check_circle
Crossref

A multi-party verifiable quantum proxy signature scheme based on quantum teleportation

Journal of Applied Physics
2024-04-07 | Journal article
Contributors: Chengxiang Wang; Dianjun Lu; Fuyao Tian; Weixin Yao
Source: check_circle
Crossref

Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm

Journal of Computational and Graphical Statistics
2023-10-02 | Journal article
Contributors: Bo Kai; Mian Huang; Weixin Yao; Yuexiao Dong
Source: check_circle
Crossref

Nonparametric statistical learning based on modal regression

Journal of Computational and Applied Mathematics
2022-08 | Journal article
Contributors: Sijia Xiang; Weixin Yao
Source: check_circle
Crossref

Regularized Factor Portfolio for Cross-sectional Multifactor Models

Sankhya A
2022-08 | Journal article
Contributors: Mian Huang; Shangbing Yu; Weixin Yao
Source: check_circle
Crossref

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

Journal of the Royal Statistical Society: Series A (Statistics in Society)
2022-07 | Journal article
Contributors: Aman Ullah; Tao Wang; Weixin Yao
Source: check_circle
Crossref

Pursuing sources of heterogeneity in modeling clustered population

Biometrics
2022-06 | Journal article
Contributors: Yan Li; Chun Yu; Yize Zhao; Weixin Yao; Robert H. Aseltine; Kun Chen
Source: check_circle
Crossref

Machine Learning Embedded Semiparametric Mixtures of Regressions with Covariate-Varying Mixing Proportions

Econometrics and Statistics
2022-04 | Journal article
Contributors: Jiacheng Xue; Weixin Yao
Source: check_circle
Crossref

Semiparametric mixture regression with unspecified error distributions

TEST
2021-06 | Journal article
Contributors: Yanyuan Ma; Shaoli Wang; Lin Xu; Weixin Yao
Source: check_circle
Crossref

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

Econometrics and Statistics
2021-04 | Journal article
Contributors: Lin Cong; Weixin Yao
Source: check_circle
Crossref

Joint estimation of behind-the-meter solar generation in a community

IEEE Trans. Sustain. Energy
2021-01 | Journal article
Source: Self-asserted source
Weixin Yao

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

IEEE Transactions on Sustainable Energy
2021-01 | Journal article
Contributors: Farzana Kabir; Nanpeng Yu; Weixin Yao; Rui Yang; Yingchen Zhang
Source: check_circle
Crossref

Semiparametric mixture regression with unspecified error distributions

Test
2020 | Journal article
Source: Self-asserted source
Weixin Yao

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

Commun. Stat. Simul. Comput.
2020-08 | Journal article
Source: Self-asserted source
Weixin Yao

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

Commun. Stat. Simul. Comput.
2020-07 | Journal article
Source: Self-asserted source
Weixin Yao

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

Sci. Rep.
2020-06 | Journal article
Source: Self-asserted source
Weixin Yao

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

Adv. Data Anal. Classif.
2020-06 | Journal article
Source: Self-asserted source
Weixin Yao

A selective overview and comparison of robust mixture regression estimators

Int. Stat. Rev.
2020-04 | Journal article
Source: Self-asserted source
Weixin Yao

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

Statistics
2020-01 | Journal article
Source: Self-asserted source
Weixin Yao

An overview of semiparametric extensions of finite mixture models

Stat. Sci.
2019 | Journal article
Source: Self-asserted source
Weixin Yao

Covariate information matrix for sufficient dimension reduction

J. Am. Stat. Assoc.
2019-10 | Journal article
Source: Self-asserted source
Weixin Yao

A simple root selection method for univariate finite normal mixture models

Commun. Stat. Theory Methods
2019-08 | Journal article
Source: Self-asserted source
Weixin Yao

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

J. Multivar. Anal.
2019-05 | Journal article
Source: Self-asserted source
Weixin Yao

Hypothesis testing for finite mixture models

Comput. Stat. Data Anal.
2019-04 | Journal article
Source: Self-asserted source
Weixin Yao

Regression estimation via information-weighted composite models with different dimensions

Commun. Stat. Simul. Comput.
2019-03 | Journal article
Source: Self-asserted source
Weixin Yao

Sure independence screening in ultrahigh dimensional generalized additive models

J. Stat. Plan. Inference
2019-03 | Journal article
Source: Self-asserted source
Weixin Yao

A Selective Overview of Semiparametric Mixture of Regression Models

New Frontiers of Biostatistics and Bioinformatics
2018 | Book chapter
Source: Self-asserted source
Weixin Yao

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

J. Stat. Comput. Simul.
2018 | Journal article
Source: Self-asserted source
Weixin Yao

Statistical inference and applications of mixture of varying coefficient models

Scandinavian Journal of
2018 | Journal article
Source: Self-asserted source
Weixin Yao

Semiparametric hidden Markov model with non-parametric regression

Commun. Stat. Theory Methods
2018-11 | Journal article
Source: Self-asserted source
Weixin Yao

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

Hydrol. Process.
2018-10 | Journal article
Source: Self-asserted source
Weixin Yao

Statistical Inference and Applications of Mixture of Varying Coefficient Models

Scandinavian Journal of Statistics
2018-09 | Journal article
Contributors: Mian Huang; Weixin Yao; Shaoli Wang; Yixin Chen
Source: check_circle
Crossref

Two-stage prediction in linear models

Seq. Anal.
2018-07 | Journal article
Source: Self-asserted source
Weixin Yao

Evaluating the Effectiveness of Conservation Voltage Reduction with Multilevel Robust Regression

2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
2018-06 | Conference paper
Source: Self-asserted source
Weixin Yao

Base-calling using a random effects mixture model on next-generation sequencing data

Stat. Biosci.
2018-04 | Journal article
Source: Self-asserted source
Weixin Yao

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

Seq. Anal.
2018-04 | Journal article
Source: Self-asserted source
Weixin Yao

Semiparametric mixtures of nonparametric regressions

Ann. Inst. Stat. Math.
2018-02 | Journal article
Source: Self-asserted source
Weixin Yao

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

J. Stat. Comput. Simul.
2017 | Journal article
Source: Self-asserted source
Weixin Yao

Energy efficient building HVAC control algorithm with real-time occupancy prediction

Energy Procedia
2017 | Journal article
Source: Self-asserted source
Weixin Yao

Robust linear regression: A review and comparison

Communications in Statistics-Simulation and
2017 | Journal article
Source: Self-asserted source
Weixin Yao

The Robust EM-type Algorithms for Log-concave Mixtures of Regression Models

Comput. Stat. Data Anal.
2017-07 | Journal article
Source: Self-asserted source
Weixin Yao

A new method for robust mixture regression

Can. J. Stat.
2017-03 | Journal article
Source: Self-asserted source
Weixin Yao

Unified Inference for Sparse and Dense Longitudinal Data in Time-varying Coefficient Models: Time-varying coefficient models

Scand. Stat. Theory Appl.
2017-03 | Journal article
Source: Self-asserted source
Weixin Yao

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

Commun. Stat. Simul. Comput.
2017-02 | Journal article
Source: Self-asserted source
Weixin Yao

Forecast load impact from demand response resources

2016 IEEE Power and
2016 | Journal article
Source: Self-asserted source
Weixin Yao

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

Comput. Stat. Data Anal.
2016 | Journal article
Source: Self-asserted source
Weixin Yao

Mixture of linear mixed models using multivariate t distribution

J. Stat. Comput. Simul.
2016 | Journal article
Source: Self-asserted source
Weixin Yao

Mixtures of quantile regressions

Comput. Stat. Data Anal.
2016 | Journal article
Source: Self-asserted source
Weixin Yao
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Peer review (1 review for 1 publication/grant)

Review activity for Advances in data analysis and classification. (1)