Category «ECAS Conference / Course»

Network Analysis, Inference, and Modeling, NAIM 2019

The ECAS 2019 school on Network Analysis, Inference, and Modeling (NAIM), organized by the French Statistical Society (SFdS), will take place in Fréjus, France, on 6-11 October, 2019.

Registration is now open:

It will present an introduction and recent advances in statistical network modeling, with a special emphasis on main concepts of network analysis, sparse inference, high-dimensional data and graphical models. It will address theoretical, methodological as well as applied and practical aspects of this field.

ECAS2019: Statistical Analysis for Space-Time Data, Lisbon, 15-17 July 2019

The European Courses in Advanced Statistics (ECAS) are intended to achieve postgraduate training in special areas of statistics and addressed for (especially 1st-year) PhD students, researchers, teachers at universities, and professionals.

The ECAS2019 on Statistical Analysis for Space-Time Data, takes place in Lisbon, Portugal, on 15-17 July 2019, and is a great opportunity to attend four courses lectured by renowned experts in the field: Adrian Baddely (Curtin University, Australia), Patrick Brown (University of Toronto, Canada), Liliane Bel (AgroParisTech, France), and Haavard Rue (King Abdullah University of Science and Technology, Saudi Arabia). See for further details or contact

A poster session with contributed papers will complement the scientific program, but participants can attend the courses without presentation of posters.

Important dates:

  • Registration and abstract submission beginning: 1 October 2018 
  • Abstract submission deadline: 26 April 2019    
  • Notification of acceptance: 24 May 2019 
  • Early registration:  31 May 2019      
  • Registration deadline: 21 June 2019

Joint Summer School ERS-IASC, ECAS and SIS-CLADAG

Clustering, Data Analysis and Visualization of Complex Data

May 21-25, 2018, Catania (Italy)

The course is intended to achieve postgraduate training in special areas of statistics for both researchers and professional data analysts.  The focus is on classification and clustering methods, in conjunction with related visualization techniques, with particular emphasis on modern high-dimensional data sets (MHDS). MHDS have recently emerged because of the fast improvement in data acquisition, storage and processing. The availability of massive data sets are of large interest also in machine learning, data science and computer science. It applies in many contexts such as biological experiments, financial markets, astronomy, etc. Classification and clustering play a key role in this new paradigm to discover the inhomogeneous structure often underlying these data, and become consequently even more emblematic methods of modern data analysis.  Starting from basic concepts, the course will introduce the audience to novel techniques and software through extensive applications to real data.

Numerical applications will be performed through a variety of software, including some R packages and some cloud-computing platforms (SaaS, Software as a Service) issuing from research but targeting many kinds of practitioners

Upcoming Euorpean Courses in Advanced Statistics (ECAS)

ECAS LogoThe Irish Statistical Association is a member of the Federation of European National Statistical Societies FENStatS members and has a representative on the board of European Courses in Advanced Statistics ECAS

ECAS courses are intended to achieve postgraduate training in special areas of statistics for both researchers and teachers at universities, as well as professionals working in industry and interested in the application of new statistical methods.

Below are some upcoming ECAS courses.