Fuzzy statistics and random variables represent a progressive fusion of traditional probability theory with the principles of fuzzy logic, enabling the treatment of imprecision and vagueness ...

We propose a ranking-based variable selection (RBVS) technique that identifies important variables influencing the response in high-dimensional data. RBVS uses subsampling to identify the covariates ...

However, there is no research on variable selection for length-biased data, owing to the complex nature of such data and the lack of a convenient loss function. Therefore, we propose an estimation ...

The application of Cox proportional hazards (CoxPH) models to survival data and the derivation of hazard ratio (HR) are well established. Although nonlinear, tree-based machine learning (ML) models ...

By focusing on the visual nature of statistics instead of mathematical proofs and derivations, students can see the relationships between variables that are the foundation of quantitative analysis.

The episode also highlights the crucial importance of post-publication peer review and data audits in high-pressure research.

The AI Leadership Brain Trust Series identifies 50 key skills to advance AI skill competencies. This blog discusses the importance of statistical literacy to ensure Board Directors and C-levels ...

The latest monthly update to the Python extension for Visual Studio Code makes it easier for developers to keep track of variables and their data when working with the ever-popular programming ...