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Out-of-Sample Prediction in Multidimensional P-Spline Models

The prediction of out-of-sample values is an interesting problem in any regression model. In the context of penalized smoothing using a mixed-model reparameterization, a general framework has been proposed for predicting in additive models but without interaction terms. The aim of this paper is to g...

詳細記述

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書誌詳細
主要な著者: Alba Carballo, María Durbán, Dae-Jin Lee
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2021-07-01
シリーズ:Mathematics
主題:
オンライン・アクセス:https://www.mdpi.com/2227-7390/9/15/1761
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