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 ...

Proposals for multivariate analysis with ordinal variables based on analogies with product-moment formulae are criticized on the grounds that such analogies do not provide a basis for interpreting the ...

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 ...