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High Dimensional Probability VI - The Banff Volume (Paperback, 2013 ed.)
Loot Price: R5,290
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High Dimensional Probability VI - The Banff Volume (Paperback, 2013 ed.)
Series: Progress in Probability, 66
Expected to ship within 10 - 15 working days
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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. The papers in this volume show that HDP theory
continues to develop new tools, methods, techniques and
perspectives to analyze the random phenomena. Both researchers and
advanced students will find this book of great use for learning
about new avenues of research.
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