Keming Yu (Professor)

Keming Yu (Professor)

Brunel University London

H-index: 33

Europe-United Kingdom

About Keming Yu (Professor)

Keming Yu (Professor), With an exceptional h-index of 33 and a recent h-index of 28 (since 2020), a distinguished researcher at Brunel University London, specializes in the field of Regression Big/Small Data, Kernel-Method/Bayesian, Quantile/Extreme Modelling, Machines Learning, Weibull-Analysis/Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Unconditional Quantile Regression for Streaming Datasets

Rong Jiang and Keming Yu's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’by Waudby-Smith and Ramdas

Renewable Huber estimation method for streaming datasets

Estimation and variable selection for generalized functional partially varying coefficient hybrid models

Bayesian Fractional Polynomial Approach to Quantile Regression and Variable Selection with Application in the Analysis of Blood Pressure among US Adults

Mode-Based Classifier: A Robust and Flexible Discriminant Analysis for High-Dimensional Data

Supplementary material of “Unconditional quantile regression for streaming data sets”

Rong Jiang and Keming Yu's Discussion of “Estimating means of bounded random variables by betting” by Ian Waudby-Smith and Aaditya Ramdas

Keming Yu (Professor) Information

University

Position

___

Citations(all)

9016

Citations(since 2020)

4334

Cited By

6720

hIndex(all)

33

hIndex(since 2020)

28

i10Index(all)

87

i10Index(since 2020)

61

Email

University Profile Page

Brunel University London

Google Scholar

View Google Scholar Profile

Keming Yu (Professor) Skills & Research Interests

Regression Big/Small Data

Kernel-Method/Bayesian

Quantile/Extreme Modelling

Machines Learning

Weibull-Analysis/Engineering

Top articles of Keming Yu (Professor)

Title

Journal

Author(s)

Publication Date

Unconditional Quantile Regression for Streaming Datasets

Journal of Business & Economic Statistics

Rong Jiang

Keming Yu

2024/1/4

Rong Jiang and Keming Yu's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’by Waudby-Smith and Ramdas

Journal of the Royal Statistical Society Series B: Statistical Methodology

Rong Jiang

Keming Yu

2024/2

Renewable Huber estimation method for streaming datasets

Electronic Journal of Statistics

Rong Jiang

Lei Liang

Keming Yu

2024

Estimation and variable selection for generalized functional partially varying coefficient hybrid models

Statistical Papers

Yanxia Liu

Zhihao Wang

Maozai Tian

Keming Yu

2024/2

Bayesian Fractional Polynomial Approach to Quantile Regression and Variable Selection with Application in the Analysis of Blood Pressure among US Adults

arXiv preprint arXiv:2307.12137

Sanna Soomro

Keming Yu

2023/7/22

Mode-Based Classifier: A Robust and Flexible Discriminant Analysis for High-Dimensional Data

W Xiong

WK Härdle

J Wang

K Yu

M Tian

2023/8/7

Supplementary material of “Unconditional quantile regression for streaming data sets”

Rong Jiang

Keming Yu

2023/11/26

Rong Jiang and Keming Yu's Discussion of “Estimating means of bounded random variables by betting” by Ian Waudby-Smith and Aaditya Ramdas

R Jiang

K Yu

2023/10/9

Weighted competing risks quantile regression models and variable selection

Mathematics

Erqian Li

Jianxin Pan

Manlai Tang

Keming Yu

Wolfgang Karl Härdle

...

2023/3/8

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

Computational Statistics

Yuanqi Chu

Keming Yu

2023/7/20

A Bayesian multistage spatio‐temporally dependent model for spatial clustering and variable selection

Statistics in Medicine

Shaopei Ma

Keming Yu

Man‐lai Tang

Jianxin Pan

Wolfgang Karl Härdle

...

2023/11/20

Non‐crossing quantile double‐autoregression for the analysis of streaming time series data

Journal of Time Series Analysis

Rong Jiang

Siu Kai Choy

Keming Yu

2023

A New Bayesian Huberised Regularisation and Beyond

arXiv preprint arXiv:2307.12123

Sanna Soomro

Keming Yu

Yan Yu

2023/7/22

Bayesian scale mixtures of normals linear regression and Bayesian quantile regression with big data and variable selection

Journal of Computational and Applied Mathematics

Yuanqi Chu

Zhouping Yin

Keming Yu

2023/8/15

Modile as a conservative tail risk measurer: the solution of an optimisation problem with 0-1 loss function

arXiv preprint arXiv:2306.12117

Keming Yu

Rong Jiang

Chi Tim Ng

2023/6/21

Root n consistent extremile regression and its supervised and semi-supervised learning

arXiv preprint arXiv:2310.07107

Rong Jiang

Keming Yu

2023/10/11

No-crossing single-index quantile regression curve estimation

Journal of Business & Economic Statistics

Rong Jiang

Keming Yu

2023/4/3

K-nearest neighbor estimation of functional nonparametric regression model under NA samples

Axioms

Xueping Hu

Jingya Wang

Liuliu Wang

Keming Yu

2022/2/25

Comparison of the Response to the CXCR4 Antagonist AMD3100 during the Development of Retinal Organoids Derived from ES Cells and Zebrafish Retina

International Journal of Molecular Sciences

Yihui Wu

Jin Qiu

Shuilian Chen

Xi Chen

Jing Zhang

...

2022/6/25

Gata3 Silencing Is Involved in Neuronal Differentiation and Its Abnormal Expression Impedes Neural Activity in Adult Retinal Neurocytes

International Journal of Molecular Sciences

Pei Chen

Yihui Wu

Jiejie Zhuang

Xuan Liu

Qian Luo

...

2022/2/24

See List of Professors in Keming Yu (Professor) University(Brunel University London)

Co-Authors

H-index: 78
David Hand

David Hand

Imperial College London

H-index: 65
Janet L Peacock

Janet L Peacock

Dartmouth College

H-index: 53
Marc Hallin

Marc Hallin

Université Libre de Bruxelles

H-index: 32
Zudi Lu

Zudi Lu

University of Southampton

H-index: 22
Rana Moyeed

Rana Moyeed

University of Plymouth

H-index: 22
Dries F. Benoit

Dries F. Benoit

Universiteit Gent

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