Keming Yu

26 papers A 1Journal 24Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Tensor-on-vector regression with interactions with application to fMRI data.
J. Multivar. Anal.
Jinwen Liang, Keming Yu, Jianxin Pan, Wolfgang Karl Härdle, Maozai Tian
2025 J jnl
Fully nonparametric inverse probability weighting estimation with nonignorable missing data and its extension to missing quantile regression.
Comput. Stat. Data Anal.
Ling-Nan Tai, Li Tao, Jianxin Pan, Man-Lai Tang, Keming Yu, Wolfgang Karl Härdle, Maozai Tian
2025 J jnl
Waveform cooperative communication for cohesive clustered satellite systems.
Sci. China Inf. Sci.
Yuqi Huang, Lin Mei, Pengyu Gao, Su Ma, Zhaopeng Du, Keming Yu
2024 J jnl
Bayesian log-linear beta-negative binomial integer-valued Garch model.
Comput. Stat.
Yuanqi Chu, Keming Yu
2023 J jnl
Bayesian scale mixtures of normals linear regression and Bayesian quantile regression with big data and variable selection.
J. Comput. Appl. Math.
Yuanqi Chu, Zhouping Yin, Keming Yu
2022 J jnl
K-Nearest Neighbor Estimation of Functional Nonparametric Regression Model under NA Samples.
Axioms
Xueping Hu, Jingya Wang, Liuliu Wang, Keming Yu
2022 J jnl
Renewable quantile regression for streaming data sets.
Neurocomputing
Rong Jiang, Keming Yu
2021 J jnl
A non-parametric CUSUM control chart for process distribution change detection and change type diagnosis.
Int. J. Prod. Res.
Shiwang Hou, Keming Yu
2021 J jnl
Smoothing quantile regression for a distributed system.
Neurocomputing
Rong Jiang, Keming Yu
2020 J jnl
Robust control algorithm and simulation of networked control systems.
Comput. Commun.
Zhouping Yin, Keming Yu, Yuanzhi Wang
2020 J jnl
Single-index composite quantile regression for massive data.
J. Multivar. Anal.
Rong Jiang, Keming Yu
2019 — conf
A Method to Determine Angle Kappa via Automated Shape Recognition from Surgical Images.
ICHI
Sian Liu, Jingzhi Yu, Jing Zhuang, Keming Yu
2019 J jnl
An Efficient Mixed-Model for Screening Differentially Expressed Genes of Breast Cancer Based on LR-RF.
IEEE ACM Trans. Comput. Biol. Bioinform.
Mengmeng Sun, Tao Ding, Xu-Qing Tang, Keming Yu
2018 J jnl
A Simple and Adaptive Dispersion Regression Model for Count Data.
Entropy
Hadeel S. Klakattawi, Veronica Vinciotti, Keming Yu
2016 J jnl
Quantile autoregression neural network model with applications to evaluating value at risk.
Appl. Soft Comput.
Qifa Xu, Xi Liu, Cuixia Jiang, Keming Yu
2016 J jnl
Quantile regression with group lasso for classification.
Adv. Data Anal. Classif.
Hussein Hashem, Veronica Vinciotti, Rahim Alhamzawi, Keming Yu
2015 J jnl
Density Regression Based on Proportional Hazards Family.
Entropy
Wei Dang, Keming Yu
2015 J jnl
Fitting censored quantile regression by variable neighborhood search.
J. Glob. Optim.
Rima Sheikh Rajab, Milan Drazic, Nenad Mladenovic, Pavle Mladenovic, Keming Yu
2014 J jnl
New Inference for Constant-Stress Accelerated Life Tests With Weibull Distribution and Progressively Type-II Censoring.
IEEE Trans. Reliab.
Bing Xing Wang, Keming Yu, Zhuo Sheng
2013 J jnl
Bayesian lasso binary quantile regression.
Comput. Stat.
Dries F. Benoit, Rahim Alhamzawi, Keming Yu
2013 J jnl
Conjugate priors and variable selection for Bayesian quantile regression.
Comput. Stat. Data Anal.
Rahim Alhamzawi, Keming Yu
2013 J jnl
Maximum likelihood estimation of multinomial probit factor analysis models for multivariate
Comput. Stat.
Jie Jiang, Xinsheng Liu, Keming Yu
2010 J jnl
Inference Under Progressively Type II Right-Censored Sampling for Certain Lifetime Distributions.
Technometrics
Bing Xing Wang, Keming Yu, M. C. Jones
2010 J jnl
Single-index quantile regression.
J. Multivar. Anal.
Tracy Zhou Wu, Keming Yu, Yan Yu
2009 J jnl
Automatic Bayesian quantile regression curve fitting.
Stat. Comput.
Colin Chen, Keming Yu
1997 A conf
Asessing and Improving Classification Rules.
AISTATS
David J. Hand, Keming Yu, Niall M. Adams