Ordinal regression and classification methods form a vital branch of statistical learning wherein the outcome variable possesses an inherent order. Unlike conventional classification problems ...

The random forest model produces an ensemble of randomized decision trees, and is used for both classification and regression. The aggregated ensemble either combines the votes modally or averages ...

Background Cardiovascular-kidney-metabolic (CKM) syndrome plays a critical role in the pathogenesis of cardiovascular ...

While the gradient boosting machine model can help impact the insurance sector, there are challenges and key strategies to understand.

For functional regression models with functional responses, we propose a nonparametric random-effects model using Gaussian process priors. The proposed model captures the heterogeneity nonlinearly and ...

Multivariable logistic regression model was used to identify risk factors and stratify patients into high-risk and low-risk groups. A novel ORN classification system was developed to depict ORN ...