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 ...
Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 66, No. 5 (NOVEMBER 2017), pp. 1049-1064 (16 pages) We analyse the problem of two clinically inseparable, repeatedly ...
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 ...
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