ARGOT 发表于 2025-3-21 16:04:00

书目名称COMPSTAT影响因子(影响力)<br>        http://impactfactor.cn/2024/if/?ISSN=BK0232009<br><br>        <br><br>书目名称COMPSTAT影响因子(影响力)学科排名<br>        http://impactfactor.cn/2024/ifr/?ISSN=BK0232009<br><br>        <br><br>书目名称COMPSTAT网络公开度<br>        http://impactfactor.cn/2024/at/?ISSN=BK0232009<br><br>        <br><br>书目名称COMPSTAT网络公开度学科排名<br>        http://impactfactor.cn/2024/atr/?ISSN=BK0232009<br><br>        <br><br>书目名称COMPSTAT被引频次<br>        http://impactfactor.cn/2024/tc/?ISSN=BK0232009<br><br>        <br><br>书目名称COMPSTAT被引频次学科排名<br>        http://impactfactor.cn/2024/tcr/?ISSN=BK0232009<br><br>        <br><br>书目名称COMPSTAT年度引用<br>        http://impactfactor.cn/2024/ii/?ISSN=BK0232009<br><br>        <br><br>书目名称COMPSTAT年度引用学科排名<br>        http://impactfactor.cn/2024/iir/?ISSN=BK0232009<br><br>        <br><br>书目名称COMPSTAT读者反馈<br>        http://impactfactor.cn/2024/5y/?ISSN=BK0232009<br><br>        <br><br>书目名称COMPSTAT读者反馈学科排名<br>        http://impactfactor.cn/2024/5yr/?ISSN=BK0232009<br><br>        <br><br>

震惊 发表于 2025-3-21 21:07:02

Efficient Nonparametric Smoothing in High Dimensions Using Interactive Graphical Techniquespplied workers in biostatistics, economics and engineering to model the data in a nonparametric fashion. The benefits of this more flexible modeling come at the cost of greater computation, especially in high dimensions. In this paper several possibilities of smoothing in high dimensions are describ

pessimism 发表于 2025-3-22 00:58:31

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FLIT 发表于 2025-3-22 07:02:22

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heckle 发表于 2025-3-22 09:33:46

Detecting Structures by Means of Projection Pursuitnlmodal densities mixture. It is shown that under this model the use of projections indices based on Renyi entropy or on third or fourth moments results In obtaining an estimate of the discriminant subspace. For estimating the Renyi indices values some forms of the order statistics are used. For det

thalamus 发表于 2025-3-22 14:41:49

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thalamus 发表于 2025-3-22 20:52:12

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消毒 发表于 2025-3-22 23:44:49

Graphical Modelling with Large Numbers of Variables: An Application of Principal Componentsting is proposed in the context of covariance selection models, similar in spirit to the screening procedure of Kreiner (1987), which avoids the explicit fitting of any graphical model. It is conjectured that a useful guide to assess the performance of the model is to compare its predictive power ag

没花的是打扰 发表于 2025-3-23 01:24:32

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座右铭 发表于 2025-3-23 09:19:18

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查看完整版本: Titlebook: COMPSTAT; Proceedings in Compu David Edwards,Niels E. Raun Conference proceedings 1988 Physica-Verlag Heidelberg 1988 ANOVA.Generalized lin