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 ...
Abstract: This study investigates the application of machine learning (ML) algorithms to enhance the precision of wine quality assessment, focusing specifically on Portuguese red wine. Amidst the ...
Abstract: Variable stiffness actuators (VSA) are an emerging advanced driving method for robotic joint in physical human-robot interaction scenarios. This paper proposes a VSA based on adjusting the ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback