High Dimensional Probability VIII is popular PDF and ePub book, written by Nathael Gozlan in 2019-11-26, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, High Dimensional Probability VIII can be Read Online from any device for your convenience.
High Dimensional Probability VIII Book PDF Summary
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.
Detail Book of High Dimensional Probability VIII PDF
- Author : Nathael Gozlan
- Release : 26 November 2019
- Publisher : Springer Nature
- ISBN : 9783030263911
- Genre : Mathematics
- Total Page : 457 pages
- Language : English
- PDF File Size : 12,8 Mb
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