[Forum SIS] Robust Statistics @Lake Como: registration is now open!

[Francesca Greselin]

*** apologies for cross posting ***

Dear all,
the III International School on Classification and Data Analysis, on

*ROBUST STATISTICS: FOUNDATIONS and RECENT DEVELOPMENTS*

will take place on the enchanting shores of Lake Como, Italy, on May 4-8,
2020.
It is intended for Ph.D. Students, M.S. Students, Post-Docs, Young and
Junior researchers.


Robust statistics is at the forefront of statistical research, and a
central topic in multidisciplinary science where mathematical ideas are
used to model and understand the real world, without being affected by
contamination that could occur in the data.

Nowadays, with the increasing availability of Big data, robust statistical
methods are crucially needed.

The aim of this course is three-fold: present novel models to describe
real-world phenomena, and their properties; study their behavior under
different kinds of contamination; discuss their implementation through
computational methods.

The lecturers are amongst the most influential scholars in the field:

Anthony Atkinson
<https://www.researchgate.net/profile/Anthony_Atkinson3>, London
School of Economics, UK
Agustin Mayo-Iscar
<https://www.researchgate.net/profile/Agustin_Mayo>, University
of Valladolid, ES
Marco Riani <https://www.researchgate.net/profile/Marco_Riani>, University
of Parma, IT
Anna Maria Paganoni
<https://www.researchgate.net/profile/Anna_Paganoni>, Politecnico
di Milano, IT
The school is organized by the Classification and Data Analysis Group of
the Italian Statistical Society <http://cladag.it/>, under the auspices of the
European Regional Section <https://iasc-isi.org/ers-mission/> (ERS) of
the International
Association for Statistical Computing <https://iasc-isi.org/> (IASC).

Please note that the conference room allows only for a very limited number
of participants (no more than 30).
The registration deadline is March 4th 2020.
For more information, visit the School website:
https://rsfd.lakecomoschool.org/
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