Bayesian Modelling and Analysis of Big Data
Modélisation bayésienne et analyse des Big Data
July > December 2018
This semester has now ended
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.
Watch this semester's collection of 19 videos (specialist talks & outreach presentations)
A voir : la collection Vidéos du semestre (conférences spécialisées et grand public)
Masterclass in Bayesian Statistics
Masterclass en statistique bayésienne
22-26 October 2018
Bayesian Statistics in the Big Data Era
Statistiques bayésiennes à l'ère des Big Data
26-30 November 2018
Young Bayesians and Big Data for Social Good
Jeunes bayésiens et Big Data pour le bien social
23-26 November 2018
Advances in Approximate Bayesian Computation for Big Data
Progrès dans le calcul bayésien approximatif pour les Big Data
Bayesian Statistics for Big Data
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
Guests in residence at Cirm during this semester
Invités au Cirm durant le semestre
Find out more about Kerrie Mengersen
En savoir plus sur Kerrie Mengersen
SPONSORS