Semester on 'Bayesian Modelling and Analysis of Big Data'
Chair
> Prof. Kerrie Mengersen
Queensland University of Technology, Brisbane
Kerrie Mengersen focuses on both methodological and applied statistics, with particular interest in mixture models, hierarchical models and computation, and with a focus on environmental, health and industrial applications.
Local Project Leader
> Prof. Pierre Pudlo
Aix-Marseille Université
France
Pierre Pudlo's research interests lie in clustering, machine learning, asymptotics, high dimensional algorithms and applications, Monte Carlo methods, approximate Bayesian computation (ABC), empirical likelihood and biological applications.
Masterclass in Bayesian Statistics (event 1854)
22-26 October 2018
Bayesian Statistics in the Big Data Era (event 1912)
26-30 November 2018
Young Bayesians and Big Data for Social Good (event 1911)
23-26 November  2018
Advances in Approximate Bayesian Computation for Big Data, part I
Advances in Approximate Bayesian Computation for Big Data, part II
Guests in residence at CIRM during this semester
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