Description: Functional Gaussian Approximation for Dependent Structures (Oxford Studies in Probability) [Hardcover] Merlevede, Florence; Peligrad, Magda and Utev, Sergey Product Overview Functional Gaussian Approximation for Dependent Structures develops and analyses mathematical models for phenomena that evolve in time and influence each another. It provides a better understanding of the structure and asymptotic behaviour of stochastic processes. Two approaches are taken. Firstly, the authors present tools for dealing with the dependent structures used to obtain normal approximations. Secondly, they apply normal approximations to various examples. The main tools consist of inequalities for dependent sequences of random variables, leading to limit theorems, including the functional central limit theorem and functional moderate deviation principle. The results point out large classes of dependent random variables which satisfy invariance principles, making possible the statistical study of data coming from stochastic processes both with short and long memory. The dependence structures considered throughout the book include the traditional mixing structures, martingale-like structures, and weakly negatively dependent structures, which link the notion of mixing to the notions of association and negative dependence. Several applications are carefully selected to exhibit the importance of the theoretical results. They include random walks in random scenery and determinantal processes. In addition, due to their importance in analysing new data in economics, linear processes with dependent innovations will also be considered and analysed. Read more Details Publisher : Oxford University Press (April 28, 2019) Language : English Hardcover : 496 pages ISBN-10 : 019882694X ISBN-13 : 41 Item Weight : 1.74 pounds Dimensions : 9.21 x 6.14 x 1.06 inches Best Sellers Rank: #10,205,360 in Books (See Top 100 in Books) #2,035 in Stochastic Modeling #11,059 in Statistics (Books) #19,422 in Probability & Statistics (Books) #2,035 in Stochastic Modeling #11,059 in Statistics (Books) We have been selling used books since 2012, and we've learned that the most important thing is doing good business. Honesty is our policy. Free Shipping We ship worldwide. We have multiple warehouses around the world, so please note the extended handling time on certain listings.
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ISBN: 019882694X
ISBN10: 019882694X
ISBN13: 9780198826941
EAN: 9780198826941
MPN: does not apply
Brand: OXFORD UNIVERSITY PRESS
GTIN: 09780198826941
Number of Pages: 496 Pages
Publication Name: Functional Gaussian Approximation for Dependent Structures
Language: English
Publisher: Oxford University Press, Incorporated
Item Height: 1.1 in
Subject: Functional Analysis, Probability & Statistics / Stochastic Processes, Probability & Statistics / General, General
Publication Year: 2019
Item Weight: 33.2 Oz
Type: Textbook
Item Length: 9.3 in
Author: Magda Peligrad, Florence Merlevede, Sergey Utev
Subject Area: Mathematics
Item Width: 6.5 in
Format: Hardcover