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(2013). Nonparametric multivariate L1-median regression estimation with func- tional covariates. Electron. J. Stat. 7, 1553-1586.Chaouch, M. and La¨ib, N. (2013). Nonparametric multivariate L1-median re- gression estimation with functional covariates. Electronic Journal of Statis- tics, 7:...
it is known to be a unique point in 2D or higher. The L1 is well known to reduce to the standard univariate median. Another similarity is that any measurementXof the data set can be moved along the vector from L1 toXwithout changing the value of the median. The breakdown point of ...
In this paper, a nonparametric estimator is proposed for estimating the L1-median for multivariate conditional distribution when the covariates take values in an infinite dimensional space. The multivariate case is more appropriate to pr... M Chaouch,N Laïb 被引量: 0发表: 2012年 Correlation of...
Let θ(x) be the conditional median, that is, θ(x)=inf{y: P(Y⩽y ∣ X=x)⩾1/2}. We consider the problem of estimating θ(x) from the data (X1, Y1), …, (Xn, Yn) which are α-mixing dependence. L1-norm kernel estimators of conditional median of ...
在赋权 l1模和 l∞模下树上的2-重心选址改进问题 2-median location improvement problems under weighted l1 norm and l∞ norm on trees 文档格式: .pdf 文档大小: 407.56K 文档页数: 6页 顶/踩数: 0/0 收藏人数: 0 评论次数: 0 文档热度: ...
typecontinuousknapsackproblems牞respectively.Basedonthepropertyoftheoptimalsolution牞twoO牗nproposed牞wherenisthenumberofverticesonthetree.Keywords牶2-median牷networkimprovementproblem牷tree牷knapsackproblem牷l1norm牷l∞normdoi牶10.3969/j.issn.1003-7985.2013.03.021Itis2牘algorithmsforsolvingthetwoproblemsareReceived...
There are N beads which of the same shape and size, but with different weights. N is an odd number and the beads are labeled as 1, 2, ..., N. Your task is to find the bead whose weight is median (the ((N+1)/2)th among all beads). The following comparison has been performed...
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If X is an E-valued random variable, the set of L1-medians of X is ArgminE[(d)]. Assume that this set contains only one element. From any sequence of probability measures {(d) 1} on E, which converges in law to X, we give two approximating sequences of the L1-median, for ...