The alternations of each feature value can be straightforwardly interpreted as the birth and death (Le Quesne, 1974) of a lexical item.
then the posterior hyperparameters are α n = α+n/2 and the posterior predictive distribution is Student's t-distribution (Murphy, 2007): , where M hist is a collection of α, β and a history of previously observed differences.