Classical adaptive lasso regression is known to possess the oracle properties; namely, it
performs as well as if the correct submodel were known in advance. However, it requires …

Abstract Background and Objective In the scientific literature, there is a lack of variable
selection and classification methods considering replicated data. The problem motivating …

For many high-dimensional genomic and epigenomic datasets, the outcome of interest is
ordinal. While these ordinal outcomes are often thought of as the observed cutpoints of …

Rapid global industrialization has resulted in widespread cadmium contamination in
agricultural soils and products. A considerable proportion of rice consumers are exposed to …

There have been few investigations of cancer prognosis models based on Bayesian
hierarchical models. In this study, we used a novel Bayesian method to screen mRNAs and …

Gene selection has been proven to be an effective way to improve the results of many
classification methods. However, existing gene selection techniques in binary classification …

A reciprocal LASSO (rLASSO) regularization employs a decreasing penalty function as
opposed to conventional penalization approaches that use increasing penalties on the …

Classical bridge regression is known to possess many desirable statistical properties such
as oracle, sparsity, and unbiasedness. One outstanding disadvantage of bridge …

Background Ulcerative colitis (UC) is an idiopathic, chronic disorder characterized by
inflammation, injury, and disruption of the colonic mucosa. However, there are still many …

Tobit quantile regression (QReg) model provides an efficient way of coping with left-
censored data and can be viewed as a linear QReg model, where only the data on the …