Agitated
发表于 2025-3-21 18:41:30
书目名称Maximum Penalized Likelihood Estimation影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0627913<br><br> <br><br>书目名称Maximum Penalized Likelihood Estimation影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0627913<br><br> <br><br>书目名称Maximum Penalized Likelihood Estimation网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0627913<br><br> <br><br>书目名称Maximum Penalized Likelihood Estimation网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0627913<br><br> <br><br>书目名称Maximum Penalized Likelihood Estimation被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0627913<br><br> <br><br>书目名称Maximum Penalized Likelihood Estimation被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0627913<br><br> <br><br>书目名称Maximum Penalized Likelihood Estimation年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0627913<br><br> <br><br>书目名称Maximum Penalized Likelihood Estimation年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0627913<br><br> <br><br>书目名称Maximum Penalized Likelihood Estimation读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0627913<br><br> <br><br>书目名称Maximum Penalized Likelihood Estimation读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0627913<br><br> <br><br>
果核
发表于 2025-3-21 22:09:30
Vincent N. LaRiccia,Paul P.‘EggermontFully develops the theory of convex minimization problems to obtain convergence rates.Includes simulation studies and analyses of classical data sets using fully automatic (data driven) procedures.Man
不断的变动
发表于 2025-3-22 02:29:19
Springer Series in Statisticshttp://image.papertrans.cn/m/image/627913.jpg
疏忽
发表于 2025-3-22 08:13:47
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错误
发表于 2025-3-22 09:57:04
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领带
发表于 2025-3-22 16:06:52
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不整齐
发表于 2025-3-22 18:33:32
978-1-4614-1712-5Springer-Verlag New York 2009
愉快么
发表于 2025-3-23 01:17:33
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样式
发表于 2025-3-23 01:42:08
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急性
发表于 2025-3-23 06:32:13
Book 2009nection between smoothing splines and reproducing kernels is of course well-known. The new twist is thatlettingtheinnerproductdependonthesmoothingparameteropensup new possibilities: It leads to asymptotically equivalent reproducing kernel estimators (without quali?cations) and thence, via uniform er