Dear all,

 
We, Christophe Biscio, Elena Di Bernardino, Céline Duval and Alberto Rodriguez Casal are organizing a meeting at the CIRM on « Set Estimation » from 29 June to 3 July 2020: 

https://conferences.cirm-math.fr/2296.html

You will find below a short description of the theme of the conference.

The conference will include long talks and 2 short courses given by  Antonio Cuevas (Universidad Autónoma de Madrid) and Georg Lindgren (Lund University). The full list of speakers is available on the website. 

 
It is a pleasure for us to ask you to participate to this event and we hope that you will respond positively. If so, could you register on the website:  « pre-registrations-apply-here ».

Note that during registration young researchers are encouraged to submit an abstract for a short talk or a poster session.

If you intend to come, we would greatly appreciate if you could register before March 10th 2020.

We remain available if you have any question.
Best regards,

Christophe Biscio
Elena Di Bernardino
Céline Duval
Alberto Rodriguez Casal

Abstract: Set estimation appears in many applied fields, for instance in cosmology, imaging, biology, environmental science, sea waves modeling, big data. Many mathematical issues arise and are studied by both random geometry and spatial statistics communities. The purpose of this meeting is to gather these two communities around this common question. 
The considered sets are obviously multidimensional. They can be either random or the observation of a random phenomenon. Among others, we can name the support of multi- dimensional densities, realizations of point processes, Gibbs or Boolean models, excursion sets of random fields, discrete or continuous, level sets or high dimensional data. Regard- ing estimation, it could include inference for the localization of the set, its frontier or its extremal points, its shape, its volume or any other geometrical functional. The study of these objects naturally leads to parametric or non-parametric estimation issues and the need for testing procedures (Gaussianity, isotropy,...). 

By set estimation, we mean the study of an inverse statistical problem to build consistent inference procedures and associated algorithms, starting from eventually sparse observations. Talks will be devoted to this question by firstly presenting the set of interest and its properties then the methods developed for its estimation. 

The program will include talks directed toward theory and applications. 

 

Warning:  We encountered some technical issues with the registration of people who already visited the CIRM and who did not fully completed the registration procedure. When you register be careful to follow the procedure until the end, you will then receive an automatic email confirming that you are registered. If you do not receive this email, please contact us.