2014 ENBIS-SFdS Spring Meeting

9 – 11 April 2014; Institut Henri Poincaré, Paris (France) Abstract submission: 1 April – 30 May 2013

The 2014 ENBIS-SFdS Spring Meeting with the title "Graphical Causality Models: Trees, Bayesian Networks and Big Data" in Paris, France

The 2014 ENBIS-SFdS Spring Meeting on graphical causality models (with the focus on trees, Bayesian networks and big data) is an event jointly organized by ENBIS and Société Francaise de Statistique (SFdS). It will take place from April 9th to 11th, 2014, at the Institut Henri Poincaré in Paris (France).

The objective of the meeting is to investigate new methodological advances in the area of big data analytics, causality mechanisms and robust modelling. These areas of theoretical and applied research concern a large spectrum of statisticians in various fields of specialisation and application.

The scientific format of the 2014 Spring Meeting combines an open day for the general public and specialized research sessions for specialists in the area. Specifically:

1. On April 9th, 2014: A general talk on causality networks and several presentations of case studies by researchers, practitioners and software companies will take place in Amphiteatre Hermite. Admission is free.

2. On April 10th and 11th, 2014: A research workshop for specialists interested in discussing new developments in an informal setting will take place in Amphitheatre Darboux. 

Please note that a selection of papers submitted for the research workshop will be published (after the regular peer-review process) before the event in a special issue of the international journal "Quality Technology and Quantitative Management" (QTQM). Jean-Michel Poggi (President of SFdS), Ron S. Kenett (Past President of ENBIS), and Alberto Pasanisi (EDF), will serve as guest editors for the QTQM special issue.

The three co-editors of the special issue also serve as contacts for any queries pertaining to the details of the Spring Meeting.

For regular updates visit http://springmeeting2014.sfds.asso.fr/.