TRACT 发表于 2025-3-21 18:24:52
书目名称Normal Approximation by Stein’s Method影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0668019<br><br> <br><br>书目名称Normal Approximation by Stein’s Method影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0668019<br><br> <br><br>书目名称Normal Approximation by Stein’s Method网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0668019<br><br> <br><br>书目名称Normal Approximation by Stein’s Method网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0668019<br><br> <br><br>书目名称Normal Approximation by Stein’s Method被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0668019<br><br> <br><br>书目名称Normal Approximation by Stein’s Method被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0668019<br><br> <br><br>书目名称Normal Approximation by Stein’s Method年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0668019<br><br> <br><br>书目名称Normal Approximation by Stein’s Method年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0668019<br><br> <br><br>书目名称Normal Approximation by Stein’s Method读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0668019<br><br> <br><br>书目名称Normal Approximation by Stein’s Method读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0668019<br><br> <br><br>陈腐思想 发表于 2025-3-21 22:49:37
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Non-normal Approximation,statistical physics, at the critical inverse temperature, by a distribution with density proportional to exp (−../12). Bounds for approximation by the exponential distribution are also derived, and applied to the spectrum of the Bernoulli Laplace Markov chain, and first passage times for Markov chains.heirloom 发表于 2025-3-22 10:12:22
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,Berry–Esseen Bounds for Independent Random Variables,st by concentration inequalities, then by induction. This chapter concludes with a lower bound for the Berry–Esseen inequality. As seen in the chapter dependency diagram that follows, Chaps. 2 and 3 form much of the basis of this book.Armory 发表于 2025-3-22 17:59:31
,, by Bounded Couplings,n . and ., a small bound being a reflection of a small distance. The chapter concludes with the use of smoothing inequalities to obtain distances between . and the normal over general function classes, one special case being the derivation of Kolmogorov distance bounds when bounded size bias couplings exist.音乐等 发表于 2025-3-22 21:29:34
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,, Bounds,and applied to the approximation of the distribution of the volume covered by randomly placed spheres in the Euclidean torus. Results are then given for sums of locally dependent random variables, with applications including the number of local maxima on a graph. The chapter concludes with a consideThyroid-Gland 发表于 2025-3-23 06:11:40
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