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Weixin Yao

Showing results (1-10 of 17) with videos related to

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Journal of the Royal Statistical Society. Series B, Statistical Methodology|March 30, 2013
New Local Estimation Procedure for Nonparametric Regression Function of Longitudinal DataWeixin Yao, Runze Li
Journal of Applied Statistics|February 23, 2023
Sensitivity analysis of unmeasured confounding in causal inference based on exponential tilting and super learnerMi Zhou, Weixin Yao
The Canadian Journal of Statistics = Revue Canadienne De Statistique|June 6, 2017
A new method for robust mixture regressionChun Yu, Weixin Yao, Kun Chen
Computational Statistics & Data Analysis|September 27, 2017
The Robust EM-type Algorithms for Log-concave Mixtures of Regression ModelsHao Hu, Weixin Yao, Yichao Wu
Computational Statistics & Data Analysis|April 12, 2016
Maximum likelihood estimation of the mixture of log-concave densitiesHao Hu, Yichao Wu, Weixin Yao
Biostatistics (Oxford, England)|March 22, 2025
Semiparametric mixture regression for asynchronous longitudinal data using multivariate functional principal component analysisRuihan Lu, Yehua Li, Weixin Yao
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|September 15, 2022
Nonlinear modal regression for dependent data with application for predicting COVID-19Aman Ullah, Tao Wang, Weixin Yao
Journal of Nonparametric Statistics|October 11, 2012
Local Modal RegressionWeixin Yao, Bruce G Lindsay, Runze Li
Statistica Sinica|September 27, 2016
TIME-VARYING COEFFICIENT MODELS FOR JOINT MODELING BINARY AND CONTINUOUS OUTCOMES IN LONGITUDINAL DATAEsra Kürüm, Runze Li, Saul Shiffman, et al.
Statistica Sinica|July 30, 2024
ESTIMATION FOR EXTREME CONDITIONAL QUANTILES OF FUNCTIONAL QUANTILE REGRESSIONHanbing Zhu, Riquan Zhang, Yehua Li, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Journal of the Royal Statistical Society. Series B, Statistical Methodology|March 30, 2013
New Local Estimation Procedure for Nonparametric Regression Function of Longitudinal DataWeixin Yao, Runze Li
Journal of Applied Statistics|February 23, 2023
Sensitivity analysis of unmeasured confounding in causal inference based on exponential tilting and super learnerMi Zhou, Weixin Yao
The Canadian Journal of Statistics = Revue Canadienne De Statistique|June 6, 2017
A new method for robust mixture regressionChun Yu, Weixin Yao, Kun Chen
Computational Statistics & Data Analysis|September 27, 2017
The Robust EM-type Algorithms for Log-concave Mixtures of Regression ModelsHao Hu, Weixin Yao, Yichao Wu
Computational Statistics & Data Analysis|April 12, 2016
Maximum likelihood estimation of the mixture of log-concave densitiesHao Hu, Yichao Wu, Weixin Yao
Biostatistics (Oxford, England)|March 22, 2025
Semiparametric mixture regression for asynchronous longitudinal data using multivariate functional principal component analysisRuihan Lu, Yehua Li, Weixin Yao
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|September 15, 2022
Nonlinear modal regression for dependent data with application for predicting COVID-19Aman Ullah, Tao Wang, Weixin Yao
Journal of Nonparametric Statistics|October 11, 2012
Local Modal RegressionWeixin Yao, Bruce G Lindsay, Runze Li
Statistica Sinica|September 27, 2016
TIME-VARYING COEFFICIENT MODELS FOR JOINT MODELING BINARY AND CONTINUOUS OUTCOMES IN LONGITUDINAL DATAEsra Kürüm, Runze Li, Saul Shiffman, et al.
Statistica Sinica|July 30, 2024
ESTIMATION FOR EXTREME CONDITIONAL QUANTILES OF FUNCTIONAL QUANTILE REGRESSIONHanbing Zhu, Riquan Zhang, Yehua Li, et al.
Pageof 2