infection
发表于 2025-3-21 19:27:53
书目名称Nonparametric Kernel Density Estimation and Its Computational Aspects影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0667826<br><br> <br><br>书目名称Nonparametric Kernel Density Estimation and Its Computational Aspects影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0667826<br><br> <br><br>书目名称Nonparametric Kernel Density Estimation and Its Computational Aspects网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0667826<br><br> <br><br>书目名称Nonparametric Kernel Density Estimation and Its Computational Aspects网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0667826<br><br> <br><br>书目名称Nonparametric Kernel Density Estimation and Its Computational Aspects被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0667826<br><br> <br><br>书目名称Nonparametric Kernel Density Estimation and Its Computational Aspects被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0667826<br><br> <br><br>书目名称Nonparametric Kernel Density Estimation and Its Computational Aspects年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0667826<br><br> <br><br>书目名称Nonparametric Kernel Density Estimation and Its Computational Aspects年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0667826<br><br> <br><br>书目名称Nonparametric Kernel Density Estimation and Its Computational Aspects读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0667826<br><br> <br><br>书目名称Nonparametric Kernel Density Estimation and Its Computational Aspects读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0667826<br><br> <br><br>
红润
发表于 2025-3-21 22:19:14
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散布
发表于 2025-3-22 02:52:20
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天然热喷泉
发表于 2025-3-22 08:09:24
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感情脆弱
发表于 2025-3-22 08:47:01
Artur GramackiContains both background information and much more sophisticated material on kernel density estimation (KDE), its computational aspects, and its applications.Describes in detail computational-like pro
exacerbate
发表于 2025-3-22 16:43:00
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Inelasticity
发表于 2025-3-22 20:27:43
Nonparametric Kernel Density Estimation and Its Computational Aspects
PALMY
发表于 2025-3-23 00:55:38
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填满
发表于 2025-3-23 01:25:30
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regale
发表于 2025-3-23 07:39:22
FFT-Based Algorithms for Kernel Density Estimation and Bandwidth Selection, discuss the use of this method for plug-in and . bandwidth selectors. The final part is devoted to an overview of extended computer simulations confirming high performance and accuracy levels of the FFT-based method for KDE and bandwidth selection.