Keming Yu

According to our database, Keming Yu authored at least 23 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Bayesian log-linear beta-negative binomial integer-valued Garch model.

Yuanqi Chu, Keming Yu

Comput. Stat., May, 2024

2023

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., August, 2023

2022

Renewable quantile regression for streaming data sets.

Rong Jiang, Keming Yu

Neurocomputing, 2022

K-Nearest Neighbor Estimation of Functional Nonparametric Regression Model under NA Samples.

Xueping Hu, Jingya Wang, Liuliu Wang, Keming Yu

Axioms, 2022

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

Smoothing quantile regression for a distributed system.

Rong Jiang, Keming Yu

Neurocomputing, 2021

2020

Single-index composite quantile regression for massive data.

Rong Jiang, Keming Yu

J. Multivar. Anal., 2020

Robust control algorithm and simulation of networked control systems.

Zhouping Yin, Keming Yu, Yuanzhi Wang

Comput. Commun., 2020

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

A Method to Determine Angle Kappa via Automated Shape Recognition from Surgical Images.

Sian Liu, Jingzhi Yu, Jing Zhuang, Keming Yu

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018

A Simple and Adaptive Dispersion Regression Model for Count Data.

Hadeel S. Klakattawi, Veronica Vinciotti, Keming Yu

Entropy, 2018

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

Quantile regression with group lasso for classification.

Hussein Hashem, Veronica Vinciotti, Rahim Alhamzawi, Keming Yu

Adv. Data Anal. Classif., 2016

2015

Fitting censored quantile regression by variable neighborhood search.

Rima Sheikh Rajab, Milan Drazic, Nenad Mladenovic, Pavle Mladenovic, Keming Yu

J. Glob. Optim., 2015

Density Regression Based on Proportional Hazards Family.

Wei Dang, Keming Yu

Entropy, 2015

2014

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

2013

Maximum likelihood estimation of multinomial probit factor analysis models for multivariate <i>t</i>-distribution.

Jie Jiang, Xinsheng Liu, Keming Yu

Comput. Stat., 2013

Bayesian lasso binary quantile regression.

Dries F. Benoit, Rahim Alhamzawi, Keming Yu

Comput. Stat., 2013

Conjugate priors and variable selection for Bayesian quantile regression.

Rahim Alhamzawi, Keming Yu

Comput. Stat. Data Anal., 2013

2010

Inference Under Progressively Type II Right-Censored Sampling for Certain Lifetime Distributions.

Bing Xing Wang, Keming Yu, M. C. Jones

Technometrics, 2010

Single-index quantile regression.

Tracy Zhou Wu, Keming Yu, Yan Yu

J. Multivar. Anal., 2010

2009

Automatic Bayesian quantile regression curve fitting.

Colin Chen, Keming Yu

Stat. Comput., 2009

1997

Asessing and Improving Classification Rules.

David J. Hand, Keming Yu, Niall M. Adams

Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997