Workshop on Bayesian Predictive Inference
The “Workshop on Bayesian Predictive Inference“ is a satellite workshop to BNP14, set to take place on the afternoon of June 22nd, 2025 atUCLA in Los Angeles, United States.
Within the field of Bayesian statistics, there has been a recent surge in the development of methods that bring the focus onto the predictive distribution. These methods can bypass the usual prior-likelihood construction by directly considering the predictive rule and can recover inferential uncertainty through the imputation of missing data. The predictive approach provides an intriguing alternative to the usual prior-likelihood focus of Bayesian models, promising new computational, theoretical, and foundational opportunities.
This workshop aims to bring together researchers and experts to present and discuss recent advances in predictive methods for Bayesian inference. The event will feature a blend of tutorials and talks.
There is no registration fee to attend the workshop, and registration will open shortly. If you are interested in presenting at the workshop, please select the option to be considered when submitting a contributed talk session via the BNP14 online submission form or contact Edwin Fong directly at chefong@hku.hk.
25 Years of Dependent Dirichlet Processes
The Dependent Dirichlet Process (DDP) was first introduced by a seminal Proceedings article and a technical report by Steven MacEachern in 1999/2000; this pioneering work extended the classical Dirichlet Process, introducing a framework for modeling dependencies across multiple distributions and enabling flexible modeling of complex data structures. To mark the 25th anniversary of the DDP, we are organizing a workshop that will bring together researchers reflecting on the profound impact of MacEachern’s technical report and its contributions to theory, methods, and applications. This event will not only celebrate Steven MacEachern’s groundbreaking contribution but also honor the vibrant community of researchers who have expanded on the original ideas.
Details on the workshop dates, location, and (free) registration will be announced soon.
Stay tuned for updates, and we look forward to seeing you at UCLA!