In this paper, minimal conditions under which a semi-parametric binary response model is identified in a Bayesian framework are presented and compared to the conditions usually required in a sampling theory framework.

Competing risks models are presented in the framework of single transition-multiple causes models. Particular attention is paid to general distributions of latent durations and to model identification problems, which are different from parameter identification problems. Implications for...