1 citations · 2 across the 4 of their papers we have counts for
4 papers
Root n consistent extremile regression and its supervised and semi-supervised learning
Rong Jiang, Keming Yu
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 r…
Bayesian Fractional Polynomial Approach to Quantile Regression and Variable Selection with Application in the Analysis of Blood Pressure among US Adults
Sanna Soomro, Keming Yu
Hypertension is a highly prevalent chronic medical condition and a strong risk factor for cardiovascular disease (CVD), as it accounts for more than of CVD. The relation bet…
A New Bayesian Huberised Regularisation and Beyond
Sanna Soomro, Keming Yu, Yan Yu
Robust regression has attracted a great amount of attention in the literature recently, particularly for taking asymmetricity into account simultaneously and for high-dimensional a…
Statistical methods for body mass index: a selective review of the literature
Keming Yu, Rahim Alhamzawi, Frauke Becker +1
Obesity rates have been increasing over recent decades, causing significant concern among policy makers. Excess body fat, commonly measured by body mass index (BMI), is a major ris…