Bayesian Nonparametric Inference for Random Distributions and Related Functions

Stephen G. Walker, Paul Damien, PuruShottam W. Laud, Adrian F. M. Smith
1999 Journal of The Royal Statistical Society Series B-statistical Methodology  
In recent years, Bayesian nonparametric inference, both theoretical and computational, has witnessed considerable advances. However, these advances have not received a full critical and comparative analysis of their scope, impact and limitations in statistical modelling; many aspects of the theory and methods remain a mystery to practitioners and many open questions remain. In this paper, we discuss and illustrate the rich modelling and analytic possibilities that are available to the
more » ... an within the Bayesian nonparametric and/or semiparametric framework.
doi:10.1111/1467-9868.00190 fatcat:ji4zf5u57vapfkpcupeg6ph3bm