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＜電子ブック＞
Normal Approximations with Malliavin Calculus : From Stein's Method to Universality / Ivan Nourdin, Giovanni Peccati
(Cambridge Tracts in Mathematics ; 192)

出版者	Cambridge : Cambridge University Press
出版年	2012
大きさ	1 online resource (254 pages) : digital, PDF file(s)
著者標目	*Nourdin, Ivan author Peccati, Giovanni author
件　名	LCSH:Approximation theory LCSH:Malliavin calculus
一般注記	Title from publisher's bibliographic system (viewed on 11 Nov 2016) Stein's method is a collection of probabilistic techniques that allow one to assess the distance between two probability distributions by means of differential operators. In 2007, the authors discovered that one can combine Stein's method with the powerful Malliavin calculus of variations, in order to deduce quantitative central limit theorems involving functionals of general Gaussian fields. This book provides an ideal introduction both to Stein's method and Malliavin calculus, from the standpoint of normal approximations on a Gaussian space. Many recent developments and applications are studied in detail, for instance: fourth moment theorems on the Wiener chaos, density estimates, Breuer–Major theorems for fractional processes, recursive cumulant computations, optimal rates and universality results for homogeneous sums. Largely self-contained, the book is perfect for self-study. It will appeal to researchers and graduate students in probability and statistics, especially those who wish to understand the connections between Stein's method and Malliavin calculus HTTP:URL=http://dx.doi.org/10.1017/CBO9781139084659

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