A Bayesian intensity model is presented for studying a bioassay problem involving interval-censored tumour onset times, and without discretization of times of death. Both tumour lethality and base-line hazard rates are estimated in the absence of cause-of-death information. Markov chain Monte...

A semi-Markov process is easily made Markov by adding some auxiliary random variables. This paper discusses the I-type quasi-stationary distributions of such "extended" processes, and the [alpha]-invariant distributions for the corresponding Markov transition probabilities; and we show that...

The following modification of a general state space discrete-time Markov chain is considered: certain transitions are supposed "forbidden" and the chain evolves until there is such a transition. At this instant the value of the chain is "replaced" according to a given rule, and, starting from...