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Titlebook: On?Stein‘s?Method?for?Infinitely?Divisible?Laws?with?Finite?First?Moment; Benjamin Arras,Christian Houdré Book 2019 The Author(s), under e

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書目名稱On?Stein‘s?Method?for?Infinitely?Divisible?Laws?with?Finite?First?Moment
編輯Benjamin Arras,Christian Houdré
視頻videohttp://file.papertrans.cn/702/701746/701746.mp4
概述Covers connections between infinite divisibility and Stein‘s method.First to propose a general and unifying Stein‘s methodology for infinitely divisible law with finite first moment.Provides quantitat
叢書名稱SpringerBriefs in Probability and Mathematical Statistics
圖書封面Titlebook: On?Stein‘s?Method?for?Infinitely?Divisible?Laws?with?Finite?First?Moment;  Benjamin Arras,Christian Houdré Book 2019 The Author(s), under e
描述This book focuses on quantitative approximation results for weak limit theorems when the target limiting law is infinitely divisible with finite first moment. Two methods are presented and developed to obtain such quantitative results. At the root of these methods stands a Stein characterizing identity discussed in the third chapter and obtained thanks to a covariance representation of infinitely divisible distributions. The first method is based on characteristic functions and Stein type identities when the involved sequence of random variables is itself infinitely divisible with finite first moment. In particular, based on this technique, quantitative versions of compound Poisson approximation of infinitely divisible distributions are presented. The second method is a general Stein‘s method approach for univariate selfdecomposable laws with finite first moment. Chapter 6 is concerned with applications and provides general upper bounds to quantify the rate of convergence in classicalweak limit theorems for sums of independent random variables. This book is aimed at graduate students and researchers working in probability theory and mathematical statistics.
出版日期Book 2019
關(guān)鍵詞Infinite Divisibility; Self-decomposability; Stable Laws; Stein‘s method; Stein-Thikhomirov‘s Method; Wea
版次1
doihttps://doi.org/10.1007/978-3-030-15017-4
isbn_softcover978-3-030-15016-7
isbn_ebook978-3-030-15017-4Series ISSN 2365-4333 Series E-ISSN 2365-4341
issn_series 2365-4333
copyrightThe Author(s), under exclusive license to Springer Nature Switzerland AG 2019
The information of publication is updating

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Benjamin Arras,Christian Houdréey result in a Hierarchically Intelligent Control System, the higher levels of which may be modeled as knowledge based system processing various types of information with Entropy as an analytic measure. The concept of Entropy of statistical Thermodynamics, is used to express the average value of the
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ey result in a Hierarchically Intelligent Control System, the higher levels of which may be modeled as knowledge based system processing various types of information with Entropy as an analytic measure. The concept of Entropy of statistical Thermodynamics, is used to express the average value of the
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Book 2019 moment. Two methods are presented and developed to obtain such quantitative results. At the root of these methods stands a Stein characterizing identity discussed in the third chapter and obtained thanks to a covariance representation of infinitely divisible distributions. The first method is based
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