GPHDPD

Geometric Phenomena in High-Dimensional Probability Distributions

 Coordinatore TEL AVIV UNIVERSITY 

 Organization address address: RAMAT AVIV
city: TEL AVIV
postcode: 69978

contact info
Titolo: Ms.
Nome: Lea
Cognome: Pais
Email: send email
Telefono: -6407805
Fax: -6408728

 Nazionalità Coordinatore Israel [IL]
 Totale costo 100˙000 €
 EC contributo 100˙000 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-IRG-2008
 Funding Scheme MC-IRG
 Anno di inizio 2009
 Periodo (anno-mese-giorno) 2009-04-01   -   2013-03-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    TEL AVIV UNIVERSITY

 Organization address address: RAMAT AVIV
city: TEL AVIV
postcode: 69978

contact info
Titolo: Ms.
Nome: Lea
Cognome: Pais
Email: send email
Telefono: -6407805
Fax: -6408728

IL (TEL AVIV) coordinator 100˙000.00

Mappa


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convex    distributions    dimensional    high    on    spaces    probability    theory    of    uniform   

 Obiettivo del progetto (Objective)

'The proposed project lies at the cross-roads of Convex Geometry, Probability Theory and the local theory of Banach spaces. We will study large classes probability distributions of geometric origin on spaces of a very high dimension, tending to infinity. A particular, important case is the uniform measure on an arbitrary high-dimensional convex body. Even though the latter class of probability distributions is quite diverse, we observe that some non-trivial principles persist. For instance, any uniform measure on a high-dimensional convex set necessarily has some approximately gaussian marginals. The recent years have seen progress in the analysis of such high-dimensional measures. The proposed project intends to deepen and extend these first signs of understanding, to contribute towards a comprehensive theory of convexity-related measures, and to develop new methods for the study of high-dimensional distributions in general.'

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HYDRON (2013)

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