Keming Yu
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View article: Average quantile regression: a new non-mean regression model and coherent risk measure
Average quantile regression: a new non-mean regression model and coherent risk measure Open
Regression models that go beyond the mean, alongside coherent risk measures, have been important tools in modern data analysis. This paper introduces the innovative concept of Average Quantile Regression (AQR), which is smooth at the quant…
View article: The unit-Cauchy quantile regression model with variates observed on (0, 1): percentages, proportions, and fractions
The unit-Cauchy quantile regression model with variates observed on (0, 1): percentages, proportions, and fractions Open
In this study, a new parametric quantile regression model is introduced as an alternative to the beta regression and Kumaraswamy quantile regression model. The proposed quantile regression model is obtained by reparametrization of the unit…
View article: A Comparative and Prospective Study of Corneal Consumption and Corneal Biomechanics After SMILE and FS-LASIK Performed on the Contralateral Eyes With High Myopic Astigmatism
A Comparative and Prospective Study of Corneal Consumption and Corneal Biomechanics After SMILE and FS-LASIK Performed on the Contralateral Eyes With High Myopic Astigmatism Open
Fewer corneal stromal consumption with SMILE surgery may contribute to better corneal biomechanics in high myopic astigmatic eyes in comparison to FS-LASIK, which could provide reliable evidence for the appropriate choice of refractive sur…
View article: A censored quantile transformation model for Alzheimer’s Disease data with multiple functional covariates
A censored quantile transformation model for Alzheimer’s Disease data with multiple functional covariates Open
Alzheimer’s disease (AD) is a progressive disease that starts from mild cognitive impairment and may eventually lead to irreversible memory loss. It is imperative to explore the risk factors associated with the conversion time to AD that i…
View article: Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen Open
The work was the Fundamental Research Funds for the Central Universities, and the Research Funds of Renmin University of China (22XNL016).
View article: Quantile regression and smoothed empirical likelihood for non-ignorable missing data based on semi-parametric response models
Quantile regression and smoothed empirical likelihood for non-ignorable missing data based on semi-parametric response models Open
MSC (2020) 主题分类 62G05, 62G08
View article: Bayesian fractional polynomial approach to quantile regression and variable selection with application in the analysis of blood pressure among US adults
Bayesian fractional polynomial approach to quantile regression and variable selection with application in the analysis of blood pressure among US adults Open
Although the fractional polynomials (FPs) can act as a concise and accurate formula for examining smooth relationships between response and predictors, modelling conditional mean functions observes the partial view of a distribution of res…
View article: Renewable Huber estimation method for streaming datasets
Renewable Huber estimation method for streaming datasets Open
Streaming data refers to a data collection scheme where observations arrive sequentially and perpetually over time, making it challenging to fit into computer memory for statistical analysis. The ordinary least squares estimate for linear …
View article: Unconditional Quantile Regression for Streaming Datasets
Unconditional Quantile Regression for Streaming Datasets Open
The Unconditional Quantile Regression (UQR) method, initially introduced by Firpo et al. has gained significant traction as a popular approach for modeling and analyzing data. However, much like Conditional Quantile Regression (CQR), UQR e…
View article: Encouraging Safe, Green, and Economically Sustainable Use of our Natural Environment
Encouraging Safe, Green, and Economically Sustainable Use of our Natural Environment Open
This report addresses anti-social behaviour at green spaces in Wales. Using the data available, this report investigates classifying sites and site users. This classification is used to understand specific anti-social behaviours with agent…
View article: Root n consistent extremile regression and its supervised and semi-supervised learning
Root n consistent extremile regression and its supervised and semi-supervised learning Open
Extremile (Daouia, Gijbels and Stupfler,2019) is a novel and coherent measure of risk, determined by weighted expectations rather than tail probabilities. It finds application in risk management, and, in contrast to quantiles, it fulfills …
View article: Non‐crossing quantile double‐autoregression for the analysis of streaming time series data
Non‐crossing quantile double‐autoregression for the analysis of streaming time series data Open
Many financial time series not only have varying structures at different quantile levels and exhibit the phenomenon of conditional heteroscedasticity at the same time but also arrive in the stream. Quantile double‐autoregression is very us…
View article: Rong Jiang and Keming Yu's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas
Rong Jiang and Keming Yu's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas Open
We want to congratulate the authors on estimating means of bounded random variables in both with-and without-replacement settings.The authors constructed confidence intervals and time-uniform confidence sequences for the mean of a bounded …
View article: A Bayesian multistage spatio‐temporally dependent model for spatial clustering and variable selection
A Bayesian multistage spatio‐temporally dependent model for spatial clustering and variable selection Open
In spatio‐temporal epidemiological analysis, it is of critical importance to identify the significant covariates and estimate the associated time‐varying effects on the health outcome. Due to the heterogeneity of spatio‐temporal data, the …
View article: Mode-Based Classifier: A Robust and Flexible Discriminant Analysis for High-Dimensional Data
Mode-Based Classifier: A Robust and Flexible Discriminant Analysis for High-Dimensional Data Open
This file available on this institutional repository is a preprint. It has not been certified by peer review. It is freely available at http://www3.stat.sinica.edu.tw/ss_newpaper/SS-2023-0014_na.pdf.
View article: A New Bayesian Huberised Regularisation and Beyond
A New Bayesian Huberised Regularisation and Beyond Open
Robust regression has attracted a great amount of attention in the literature recently, particularly for taking asymmetricity into account simultaneously and for high-dimensional analysis. However, the majority of research on the topics fa…
View article: Bayesian Fractional Polynomial Approach to Quantile Regression and Variable Selection with Application in the Analysis of Blood Pressure among US Adults
Bayesian Fractional Polynomial Approach to Quantile Regression and Variable Selection with Application in the Analysis of Blood Pressure among US Adults Open
Hypertension is a highly prevalent chronic medical condition and a strong risk factor for cardiovascular disease (CVD), as it accounts for more than $45\%$ of CVD. The relation between blood pressure (BP) and its risk factors cannot be exp…
View article: Bayesian log-linear beta-negative binomial integer-valued Garch model
Bayesian log-linear beta-negative binomial integer-valued Garch model Open
When dealing with time series with outlying and atypical data, a commonly used approach is to develop models based on heavy-tailed distributions. The literature coping with continuous-valued time series with extreme observations is well ex…
View article: Modile as a conservative tail risk measurer: the solution of an optimisation problem with 0-1 loss function
Modile as a conservative tail risk measurer: the solution of an optimisation problem with 0-1 loss function Open
Quantiles and expectiles, which are two important concepts and tools in tail risk measurements, can be regarded as an extension of median and mean, respectively. Both of these tail risk measurers can actually be embedded in a common framew…
View article: A weighted optimal quantile regression approach for complex high-dimensional heterogeneous data
A weighted optimal quantile regression approach for complex high-dimensional heterogeneous data Open
MSC (2020) 主题分类 62G05, 62P10, 62P20.
View article: Detection of Keratoconus With a New Corvis Biomechanical Index Optimized for Chinese Populations
Detection of Keratoconus With a New Corvis Biomechanical Index Optimized for Chinese Populations Open
Two thousand four hundred seventy-three patients (healthy and keratoconus) were included. In database 2, the area under the curve of the cCBI was 0.985 with 93.4% specificity and 95.5% sensitivity. In the same dataset, the original CBI pro…
View article: Weighted Competing Risks Quantile Regression Models and Variable Selection
Weighted Competing Risks Quantile Regression Models and Variable Selection Open
The proportional subdistribution hazards (PSH) model is popularly used to deal with competing risks data. Censored quantile regression provides an important supplement as well as variable selection methods due to large numbers of irrelevan…
View article: M1 Microglia-derived Exosomes Promote Activation of Resting Microglia and Amplifies Proangiogenic Effects through Irf1/miR-155-5p/Socs1 Axis in the Retina
M1 Microglia-derived Exosomes Promote Activation of Resting Microglia and Amplifies Proangiogenic Effects through Irf1/miR-155-5p/Socs1 Axis in the Retina Open
Activation of microglia plays a key role in the development of neovascular retinal diseases. Therefore, it is essential to reveal its pathophysiological and molecular mechanisms to interfere with disease progression. Here a publicly availa…
View article: Encouraging Safe, Green, and Economically Sustainable Use of our Natural Environment
Encouraging Safe, Green, and Economically Sustainable Use of our Natural Environment Open
This report addresses anti-social behaviour at green spaces in Wales. Using the data available, this report investigates classifying sites and site users. This classification is used to understand specific anti-social behaviours with agent…