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Progress in Probability

High Dimensional Probability VIII

The Oaxaca Volume

Editors: Gozlan, N., Latala, R., Lounici, K., Madiman, M. (Eds.)

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About this book

This volume collects selected papers from the 8th High Dimensional Probability meeting held at Casa Matemática Oaxaca (CMO), Mexico.

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, random graphs, information theory and convex geometry.

The contributions in this volume show that HDP theory continues to thrive and develop new tools, methods, techniques and perspectives to analyze random phenomena.


Table of contents (19 chapters)

Table of contents (19 chapters)

Buy this book

eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-030-26391-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-030-26390-4
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
High Dimensional Probability VIII
Book Subtitle
The Oaxaca Volume
Editors
  • Nathael Gozlan
  • Rafal Latala
  • Karim Lounici
  • Mokshay Madiman
Series Title
Progress in Probability
Series Volume
74
Copyright
2019
Publisher
Birkhäuser Basel
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-26391-1
DOI
10.1007/978-3-030-26391-1
Hardcover ISBN
978-3-030-26390-4
Series ISSN
1050-6977
Edition Number
1
Number of Pages
X, 458
Number of Illustrations
1 b/w illustrations, 5 illustrations in colour
Topics

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