Bayesian Modelling and Analysis of Big Data
Modélisation bayésienne et analyse du Big data
July-December 2018
LAUREATES
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.
SCIENTIFIC PROGRAMME
Click on the blue button to find out detailed information on each event.
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
POSTERS
VIDEOS
PUBLICATION
Springer link (whole volume or individual chapters)
​Product flyer
SPONSORS