We introduce a stochastic process based on nonhomogeneous Poisson processes and urn processes which can be reinforced to produce a mixture of semi-Markov processes. By working with the notion of exchangeable blocks within the process, we present a Bayesian nonparametric framework for handling...

We define a reinforced stochastic process of random variables indexed by the vertices of a k-tree and with values in a Polish space. The work presents a natural extension from an exchangeable to a partially exchangeable setting of previous work done by the authors.

Stochastic comparisons of Markov processes have mostly been in terms of transition functions or infinitesimal generators. For Itô processes, that is, solutions of stochastic differential equations, it is possible to obtain very intuitive comparisons in terms of three deterministic functions...