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標(biāo)題: Titlebook: On?Stein‘s?Method?for?Infinitely?Divisible?Laws?with?Finite?First?Moment; Benjamin Arras,Christian Houdré Book 2019 The Author(s), under e [打印本頁]

作者: 自治    時(shí)間: 2025-3-21 19:31
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作者: 痛得哭了    時(shí)間: 2025-3-21 23:15
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
作者: 紋章    時(shí)間: 2025-3-22 02:01
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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作者: 公理    時(shí)間: 2025-3-22 18:12
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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On?Stein‘s?Method?for?Infinitely?Divisible?Laws?with?Finite?First?Moment978-3-030-15017-4Series ISSN 2365-4333 Series E-ISSN 2365-4341
作者: 沙草紙    時(shí)間: 2025-3-23 14:49
Preliminaries,Nowadays, Stein’s method is a powerful tool to quantify limit theorems appearing in probability theory and, since its introduction in a Gaussian setting, it has been extended to many probability distributions beginning with the Poisson one.
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SpringerBriefs in Probability and Mathematical Statisticshttp://image.papertrans.cn/o/image/701746.jpg
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Introduction,. Starting with Chen’s [30] initial extension to the Poisson case, the method has been developed for various distributions such as compound Poisson, geometric, negative binomial, exponential, or Laplace, to name but a few.
作者: 幻影    時(shí)間: 2025-3-24 14:54
Characterization and Coupling,ons and we have to agree on what is meant by “Lipschitz”. Below, the functions we consider need not be defined on the whole of . but just on a subset of . containing ., the range of ., and ., where . is the support of ..
作者: 百靈鳥    時(shí)間: 2025-3-24 20:48
Benjamin Arras,Christian Houdréc a ubiquitous memory aid. By changing the quality, respectively the uncertainty of context recognition, the experiments show that human performance in a memory task is increased by explicitly displaying uncertainty information. Finally, we discuss implications of these experiments for today’s conte
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On?Stein‘s?Method?for?Infinitely?Divisible?Laws?with?Finite?First?Moment
作者: Negotiate    時(shí)間: 2025-3-25 16:01
2365-4333 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.978-3-030-15016-7978-3-030-15017-4Series ISSN 2365-4333 Series E-ISSN 2365-4341
作者: Factual    時(shí)間: 2025-3-25 21:17
Book 2019ith 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.
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