Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

DPD courier 4.99 € GLS courier 11.49 €

Contact

How to shop

Help

My account

▸ Empty :-(

High Dimensional Probability VII

The Cargese Volume

Christian Houdré

David M. Mason

Patricia Reynaud-Bouret

Jan Rosinski

Language

English

Book Hardback

Libristo code: 10929243

Publishers Birkhauser, September 2016

This volume collects selected papers from the 7th High Dimensional Probability meeting held at the I... Full description

Libristo code: 10929243

249 b

102.84 €

In stock at our supplier Shipping in 10-13 days

Up to 30 days for returns

Customers also purchased

Novellen Jens Peter Jacobsen

Hardback

22.32 €

Anatomie Et Physiologie Vegetales Crie-L

Paperback

21.21 €

Campagnes de Buonaparte En 1812, 1813 Et 1814, Jusqu'a Son Abdication Breton de la Martiniere-J

Paperback

25.15 €

Communiquez avec vos proches disparus: Nouvelle édition Christian Cambois

Paperback

16.76 €

Wachstum der Investmentfondsbranche und Zukunftsaussichten Shivani Gupta

Paperback

49.90 €

Max und die geheimnisvolle Spur Elmar Tannert

Calendar

12.52 €

This volume collects selected papers from the 7th High Dimensional Probability meeting held at the Institut d'Études Scientifiques de Cargčse (IESC) in Corsica, France. High Dimensional Probability (HDP) is an area of mathematics that includes the study of probability distributions and limit theorems in infinite-dimensional spaces such as Hilbert spaces and Banach spaces. The most remarkable feature of this area is that it has resulted in the creation of powerful new tools and perspectives, whose range of application has led to interactions with other subfields of mathematics, statistics, and computer science. These include random matrices, nonparametric statistics, empirical processes, statistical learning theory, concentration of measure phenomena, strong and weak approximations, functional estimation, combinatorial optimization, and random graphs.The contributions in this volume show that HDP theory continues to thrive and develop new tools, methods, techniques and perspectives to analyze random phenomena.