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 Bayesian Modelling and Analysis of Big Data
Modélisation bayésienne et analyse du Big data
July-December 2018

> 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
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.

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Masterclass in Bayesian Statistics (1854)
Masterclass en statistique bayésienne
22-26 October 2018
Bayesian Statistics in the Big Data Era (1912)
Statistiques bayésiennes à l’ère des Big Data

26-30 November 2018
Young Bayesians and Big Data for Social Good (1911)
Jeunes bayésiens et Big Data pour le bien social
23-26 November 2018
Bayesian Statistics for Big Data (2258)
Statistiques bayésiennes pour les Big Data
19-26 November 2018
Cirm Wednesdays: Data is everywhere!
Les mercredis mathématiques du Cirm : Data is everywhere!

25 November 2018
List of guests in residence during this semester
Invités du semestre
Find out more about Kerrie Mengersen
En savoir plus sur Kerrie Mengersen