GitHub

Multivariate analysis of ordinal data with missing values and latent variables

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 ...
IEEE

Mastering Precision in Pivotal Variables Defining Wine Quality via Incremental Analysis of Baseline Accuracy

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 ...
Scientific Research Publishing

Agresti, A. (2010) Analysis of Ordinal Categorical Data. Wiley.

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 ...
IEEE

Application of probabilistic ordinal optimization concepts to a continuous-variable probabilistic optimization problem

Abstract: A very general and robust approach to solving optimization problems involving probabilistic uncertainty is through the use of probabilistic ordinal optimization. At each step in the ...