Mar 26, 2011 · Typically, an optimal smoothing parameter in a penalized spline regression is determined by minimizing an information criterion, ...
Nov 26, 2009 · Typically, an optimal smoothing parameter in a penalized spline regression is deter- mined by minimizing an information criterion, ...
Mar 26, 2011 · In this paper, we have proposed a non-iterative optimiza- tion method for smoothness in penalized spline regression. By clarifying the ...
A non-iterative optimization method for smoothness in penalized spline regression · 参加プロジェクトリスト.
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A non-iterative optimization method for smoothness in penalized spline regression. Hirokazu Yanagihara. Statistics and Computing (2012) 0 comments.
Using the proposed method, all trends of the additive model are estimated simultaneously, and closed-form expressions for the smoothing parameters that minimize ...
This paper considers optimization of the ridge parameters in generalized ridge regression (GRR) by minimizing a model selection criterion.
The P-spline approach, as a direct ridge regression shrinkage type global smoothing method, is computationally efficient and stable. With established fixed-knot ...
Missing: optimization | Show results with:optimization
Summary. We propose an iterative estimation procedure for performing functional principal component analysis. The procedure aims at functional or ...
Missing: optimization | Show results with:optimization
This paper is about S-estimation for penalized regression splines. Penalized re- gression splines are one of the currently most used methods for smoothing ...