This paper suggests a new way of applying "Proportional-Reductions-in-Error" related measures (i.e., Gamma, $d_{yx}$, dxy, and Kendall's Tau's) to link logical forms ...
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 ...
This paper considers the class of sequential ordinal models in relation to other models for ordinal response data. Markov chain Monte Carlo (MCMC) algorithms, based on the approach of Albert and Chib ...