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

Partial Order Theory offers a powerful mathematical framework to compare objects when complete numerical aggregation is either impractical or misleading. In the context of multidimensional poverty ...