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


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

convex    probability    uniform    distributions    high    spaces    dimensional    on    of    theory   

 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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