This post is to announce a second occurrence of the exciting “masterclass in Bayesian Statistics” that we organised in 2016, near Marseilles. It will take place on 22-26 October 2018 once more at CIRM (Centre International de Recherches Mathématiques, Luminy, Marseilles, France). The targeted audience includes all scientists interested in learning how Bayesian inference may be used to tackle the practical problems they face in their own research. In particular PhD students and post-docs should benefit most directly from this masterclass. Among the invited speakers, Kerrie Mengersen from QUT, Brisbane, visiting Marseilles this Fall, will deliver a series of lectures on the interface between Bayesian statistics and applied modelling, Havard Rue from KAUST will talk on computing with INLA, and Aki Vehtari from Aalto U, Helsinki, will give a course on Bayesian model assessment and model choice. There will be two tutorials on R and on Stan.
All interested participants in this masterclass should pre-register as early as possible, given that the total attendance is limited to roughly 90 participants. Some specific funding for local expenses (i.e., food + accommodation on-siteat CIRM) is available (thanks to CIRM, and potentially to Fondation Jacques Hadamard, to be confirmed); this funding will be attributed by the scientific committee, with high priority to PhD students and post-docs.
