30 citations · 70 across the 9 of their papers we have counts for
9 papers
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…
Modile as a conservative tail risk measurer: the solution of an optimisation problem with 0-1 loss function
Keming Yu, Rong Jiang, Chi Tim Ng
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…
Discrete Weibull generalised additive model: an application to count fertility data
Alina Peluso, Veronica Vinciotti, Keming Yu
Fertility plans, measured by the number of planned children, have been found to be affected by education and family background via complex tail dependencies. This challenge was pre…
Flexible objective Bayesian linear regression with applications in survival analysis
F. J. Rubio, K. Yu
We study objective Bayesian inference for linear regression models with residual errors distributed according to the class of two-piece scale mixtures of normal distributions. Thes…
A new Bayesian regression model for counts in medicine
Hamed Haselimashhadi, Veronica Vinciotti, Keming Yu
Discrete data are collected in many application areas and are often characterised by highly skewed and power-lawlike distributions. An example of this, which is considered in this…
A Simple and Adaptive Dispersion Regression Model for Count Data
Hadeel S. Klakattawi, Veronica Vinciotti, Keming Yu
Regression for count data is widely performed by models such as Poisson, negative binomial (NB) and zero-inflated regression. A challenge often faced by practitioners is the select…
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…
Bayesian Mode Regression
Keming Yu, Katerina Aristodemou
Like mean, quantile and variance, mode is also an important measure of central tendency and data summary. Many practical questions often focus on "Which element (gene or file or si…