Halva—‘grapHical Analysis with Latent VAriables’—is a Python package dedicated to statistical analysis of multivariate ordinal data, designed specifically to handle missing values and latent variables ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

ABSTRACT: This study investigates the application of cumulative link models with alternative distributions (hyperbolic secant, Laplace, and Cauchy) to model ordinal outcomes of depressive severity ...

In the new era, supply chain finance (SCF), as an emerging financial model, has gradually become an important means for enterprises to develop and improve supply chain efficiency. The continuous ...

Abstract: Robotic manipulators are indispensable tools in various industrial contexts and play critical roles in remote operations. However, conventional manipulators often lack dynamic balance, which ...

Abstract: The Ordinal Pattern-Based Mode Decomposition (OPMD) is a novel data-driven method recently introduced for processing weakly stationary signals embedded in noise. It exploits the filtering ...