High Dimensional Probability VIII:The Oaxaca Volume(Progress in Probability)

数学史

原   价:
1767.5
售   价:
1414.00
优惠
平台大促 低至8折优惠
发货周期:预计8-10周发货
出版时间
2019年12月05日
装      帧
ISBN
9783030263904
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页      码
395
语      种
英文
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图书简介
This volume collects selected papers from the 8th High Dimensional Probability meeting held at Casa Matem醫ica 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.
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