Bayesian methods are now firmly established in the fields of Statistics and Machine Learning and are being increasingly applied to “Big Data”. However, there are still gaps in knowledge about the theory, methodology, computation and application of Bayesian methods in this context.
This conference will bring together an international and interdisciplinary group of researchers and practitioners to share insights, research, challenges and opportunities in developing and using Bayesian statistics in the Big Data era. The anticipated outcomes include: knowledge transfer, new collaborative networks, new research directions and new statistical tools to address challenging problems in the real world.
The program will include oral presentations and substantial time for discussion after each presentation, as well as poster presentations with specific sessions for presentation and discussion.
The program will also include dedicated time for research discussion, collaboration and networking. Sessions on topics such as career pathways and mentoring will be scheduled for postgraduates and early career researchers.