Random probability measures derived from increasing additive processes and their application to Bayesian statistics.
Increasing additive processes (IAP), i.e. processes with positive independent increments, represent a natural tool for defining random probability measures whose distributions act as nonparametric priors for Bayesian inference. It is well-known that the celebrated Dirichlet process can be obtained e...
|Main Author:||I. PRUENSTER|