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High dimensional probability VII[electronic resource] :the Cargese Volume /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	519.2
書名/作者:	High dimensional probability VII : the Cargese Volume // edited by Christian Houdre ... [et al.].
其他題名:	High dimensional probability 7
其他作者:	Houdre, Christian.
團體作者:	Clark Conference
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xxviii, 461 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Probabilities
標題:	Mathematics.
標題:	Probability Theory and Stochastic Processes.
ISBN:	9783319405193
ISBN:	9783319405179
內容註:	Dedication to Evarist Gine-Masdeu -- Inequalities and Convexity -- Limit Theorems -- Stochastic Processes -- High Dimensional Statistics.
摘要、提要註:	This volume collects selected papers from the 7th High Dimensional Probability meeting held at the Institut d'Etudes Scientifiques de Cargese (IESC) in Corsica, France. 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, and random graphs. The contributions in this volume show that HDP theory continues to thrive and develop new tools, methods, techniques and perspectives to analyze random phenomena.
電子資源:	http://dx.doi.org/10.1007/978-3-319-40519-3

High dimensional probability VII[electronic resource] :the Cargese Volume /
High dimensional probability VIIthe Cargese Volume /[electronic resource] :High dimensional probability 7edited by Christian Houdre ... [et al.]. - Cham :Springer International Publishing :2016. - xxviii, 461 p. :ill., digital ;24 cm. - Progress in probability,v.711050-6977 ;. - Progress in probability ;v.68..

Dedication to Evarist Gine-Masdeu -- Inequalities and Convexity -- Limit Theorems -- Stochastic Processes -- High Dimensional Statistics.

This volume collects selected papers from the 7th High Dimensional Probability meeting held at the Institut d'Etudes Scientifiques de Cargese (IESC) in Corsica, France. 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, and random graphs. The contributions in this volume show that HDP theory continues to thrive and develop new tools, methods, techniques and perspectives to analyze random phenomena.

ISBN: 9783319405193

Standard No.: 10.1007/978-3-319-40519-3doiSubjects--Topical Terms:

136137
Probabilities

LC Class. No.: QA273.A1

Dewey Class. No.: 519.2

High dimensional probability VII[electronic resource] :the Cargese Volume /
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