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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
High Dimensional Probability VI: The Banff Volume

High Dimensional Probability VI: The Banff Volume

Houdré, Christian
Mason, David M.
Rosiński, Jan

Paperback

Series: Progress in Probability, Book 66

CalculusGeneral ComputersProbability & Statistics

ISBN10: 3034807996
ISBN13: 9783034807999
Publisher: Springer Nature
Published: May 22 2015
Pages: 374
Weight: 1.20
Height: 0.80 Width: 6.14 Depth: 9.21
Language: English

This is a collection of papers by participants at High Dimensional Probability VI Meeting held from October 9-14, 2011 at the Banff International Research Station in Banff, Alberta, Canada.

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 areas of mathematics, statistics, and computer science. These include random matrix theory, nonparametric statistics, empirical process theory, statistical learning theory, concentration of measure phenomena, strong and weak approximations, distribution function estimation in high dimensions, combinatorial optimization, and random graph theory.

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