亚高斯分布是概率论中的一个概念，主要描述一类随机变量的分布特征。这类随机变量的尾部概率衰减速度快，与经典的高斯分布(Gaussian distribution)相比，表现出更强的尾部衰减性质。亚高斯分布的定义基于随机变量的矩母函数，满足特定条件的随机变量被视为亚高斯分布。文章中还提到了与亚高斯分布相关联的Cherno...
什么是亚高斯分布(Sub-Gaussian distribution)?它有什么理论性质和实际应用? 关注问题写回答 邀请回答 好问题 知乎· 2 个回答 · 29 关注 2020关注 14 人赞同了该回答 在概率论,亚高斯分布是具有强尾衰减的概率分布。非正式地,亚高斯分布的尾部由高斯分布的尾部主导(即衰减至少与高斯分布的尾...
3) Gaussian distribution 高斯分布 1. Research of immune particle swarm optimization algorithm based on Gaussian distribution and simulated annealing algorithm; 基于高斯分布和模拟退火算法的免疫微粒群优化算法研究 2. Precise simulation of star spots and centroid calculation based on Gaussian distribution ...
Recursive random variables with subgaussian distributions - Neininger - 2005 () Citation Context ...− W || 2 : W ∗ n pr. d = V ∗ n , W d = V ∗ }, is of distribution F ∗ n, V ∗ is of distribution F ∗ , and || . ||2 is the L2 norm. Thanks to ...
The approach applied to a pair of stock index returns demonstrates that such a bivariate vector can be a sample coming from a bivariate sub-Gaussian distribution. The methods presented here can be applied to any nontrivially distributed financial data, among others....
Here rand is a random number between 0 and 1 chosen with respect to uniform probability distribution. The nearest couplings t1 and t2 are not perturbed. The strength of the perturbations is given relative to the size of the gap, which is given by \(|t_2 - t_1|\). All perturbations ...
, which form a very interest subclass of Subgaussian (Sub) r.v., and obtain the exact exponential bounds for tail of distribution for sums of independent and disjoint such a variables, not necessary to be identical distributed, and give some new examples of SSub variables to show the ...
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to ...
Exponential bounds for the distribution of norms of sub-Gaussian random vectors taking its values in R n are found. The random vector X taking its values in R n is called sub-Gaussian with respect to a symmetric positive definite n×n matrix R if for all x∈R n the following inequality...
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks, ICML 2022 Runpei Dong*,Zhanhong Tan*,Mengdi Wu,Linfeng Zhang, andKaisheng Ma Created byRunpei Dong*,Zhanhong Tan*,Mengdi Wu,Linfeng Zhang, andKaisheng Ma. PMLR|arXiv|Models ...