Bayesian nonparametric modelling and inference encompasses a class of probabilistic methods that dispense with fixed‐dimensional parameter spaces in favour of priors defined on function or measure ...

This research project will develop flexible statistical models for joint analysis of recurrent events and survival time. In long-term, follow-up studies, subjects may experience a recurrent event at ...

Bayesian inference in nonparametric settings offers a coherent framework for learning complex, infinite-dimensional objects, such as probability densities, regression functions or solutions to inverse ...

Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. https://doi.org/10.2307/j.ctt5hhrfp.4 https ...

Le Quang Dung, a gold medalist at the 2017 International Mathematical Olympiad, has co-authored the first paper in a series of studies tackling a major unsolved problem in Bayesian nonparametrics that ...