Asessing and Improving Classification Rules. - David J. Hand; Keming Yu; Niall M. Adams (AISTATS, 1997)

Automatic Bayesian quantile regression curve fitting. - Colin Chen; Keming Yu (Stat. Comput., 2009)

Single-index quantile regression. - Tracy Zhou Wu; Keming Yu; Yan Yu (J. Multivar. Anal., 2010)

Inference Under Progressively Type II Right-Censored Sampling for Certain Lifetime Distributions. - Bing Xing Wang; Keming Yu; M. C. Jones (Technometrics, 2010)

Conjugate priors and variable selection for Bayesian quantile regression. - Rahim Alhamzawi; Keming Yu (Comput. Stat. Data Anal., 2013)

Bayesian lasso binary quantile regression. - Dries F. Benoit; Rahim Alhamzawi; Keming Yu (Comput. Stat., 2013)

Maximum likelihood estimation of multinomial probit factor analysis models for multivariate t-distribution. - Jie Jiang; Xinsheng Liu; Keming Yu (Comput. Stat., 2013)

New Inference for Constant-Stress Accelerated Life Tests With Weibull Distribution and Progressively Type-II Censoring. - Bing Xing Wang; Keming Yu; Zhuo Sheng (IEEE Trans. Reliab., 2014)

Density Regression Based on Proportional Hazards Family. - Wei Dang; Keming Yu (Entropy, 2015)

Fitting censored quantile regression by variable neighborhood search. - Rima Sheikh Rajab; Milan Drazic; Nenad Mladenovic; Pavle Mladenovic; Keming Yu (J. Glob. Optim., 2015)

Quantile regression with group lasso for classification. - Hussein Hashem; Veronica Vinciotti; Rahim Alhamzawi; Keming Yu (Adv. Data Anal. Classif., 2016)

Quantile autoregression neural network model with applications to evaluating value at risk. - Qifa Xu; Xi Liu; Cuixia Jiang; Keming Yu (Appl. Soft Comput., 2016)

A Simple and Adaptive Dispersion Regression Model for Count Data. - Hadeel S. Klakattawi; Veronica Vinciotti; Keming Yu (Entropy, 2018)

A Method to Determine Angle Kappa via Automated Shape Recognition from Surgical Images. - Sian Liu; Jingzhi Yu; Jing Zhuang; Keming Yu (ICHI, 2019)

An Efficient Mixed-Model for Screening Differentially Expressed Genes of Breast Cancer Based on LR-RF. - Mengmeng Sun; Tao Ding; Xu-Qing Tang; Keming Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Robust control algorithm and simulation of networked control systems. - Zhouping Yin; Keming Yu; Yuanzhi Wang (Comput. Commun., 2020)

Single-index composite quantile regression for massive data. - Rong Jiang; Keming Yu (J. Multivar. Anal., 2020)

Smoothing quantile regression for a distributed system. - Rong Jiang; Keming Yu (Neurocomputing, 2021)

A non-parametric CUSUM control chart for process distribution change detection and change type diagnosis. - Shiwang Hou; Keming Yu (Int. J. Prod. Res., 2021)

K-Nearest Neighbor Estimation of Functional Nonparametric Regression Model under NA Samples. - Xueping Hu; Jingya Wang; Liuliu Wang; Keming Yu (Axioms, 2022)

Renewable quantile regression for streaming data sets. - Rong Jiang; Keming Yu (Neurocomputing, 2022)

Bayesian scale mixtures of normals linear regression and Bayesian quantile regression with big data and variable selection. - Yuanqi Chu; Zhouping Yin; Keming Yu (J. Comput. Appl. Math., 2023)

Bayesian log-linear beta-negative binomial integer-valued Garch model. - Yuanqi Chu; Keming Yu (Comput. Stat., 2024)

Fully nonparametric inverse probability weighting estimation with nonignorable missing data and its extension to missing quantile regression. - Ling-Nan Tai; Li Tao; Jianxin Pan; Man-Lai Tang; Keming Yu; Wolfgang Karl Härdle; Maozai Tian (Comput. Stat. Data Anal., 2025)