Results 11 to 20 of about 127,829 (293)
BarekengNonparametric regression is a statistical method used to model relationships between variables without making strong assumptions about the functional form of the relationship.
Andre Fajry Al Barra +1 more
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Efficient algorithms for robust generalized cross-validation spline smoothing
Journal of Computational and Applied Mathematics, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lukas, M.A. +2 more
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Robust generalized cross-validation for choosing the regularization parameter [PDF]
Inverse Problems, 2006 Let fλ be the regularized solution for the problem of estimating a function or vector f0 from noisy data yi ≤ Lif0 + ei, i ≤ 1, ..., n, where Li are linear functionals. A prominent method for the selection of the crucial regularization parameter λ is generalized cross-validation (GCV). It is known that GCV has good asymptotic properties as n → ∞ but it
Lukas, M.A.
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Generalized cross validation for wavelet thresholding
, 1995 oisy data are often fitted using a smoothing parameter, controling the importance of two objectives that are opposite to a certain extend. One of these two is smoothness and the other is closeness to the input data. The optimal value of this paramater minimizes the error of the result (as compared to the unknown, exact data), usually expressed in the ...
Jansen, Maarten +2 more
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Jurnal Varian, 2017 AbstrakAnalisis regresi merupakan salah satu metode yang sangat populer dalam statistika untuk menjelaskan hubungan sebab akibat antara satu/beberapa variabel prediktor terhadap satu variabel respon. Pada umumnya, pemodelan yang dapat dilakukan dengan menggunakan analisis regresi.
Luh Putu Safitri Pratiwi +1 more
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JTAM (Jurnal Teori dan Aplikasi Matematika), 2023 Nonparametric regression approaches are used when the shape of the regression curve between the response variable and the predictor variable is assumed to be unknown. Nonparametric excess regression has high flexibility.
Tutik Handayani +2 more
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Journal of Marine Science and Engineering, 2022 In order to accurately explore the relationship between the density of Engraulis japonicus and environmental factors, five types of models, including Tweedie-Generalized Additive Model (GAM), two-stage GAM, Ad hoc-GAM, and Generalized Additive Mixing ...
Wen Ma +5 more
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Frontiers in Genetics, 2020 Genome-Wide Association Studies (GWAS) explain only a small fraction of heritability for most complex human phenotypes. Genomic heritability estimates the variance explained by the SNPs on the whole genome using mixed models and accounts for the many ...
Arthur Frouin +6 more
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Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation
CoRR, 2023 47 pages, 11 figures; this version fixes minor typos.
Jin-Hong Du +2 more
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Goodness of Fit Test of an Autocorrelated Time Series Cubic Smoothing Spline Model
Journal of Nigerian Society of Physical Sciences, 2021 We investigated the finite properties as well as the goodness of fit test for the cubic smoothing spline selection methods like the Generalized Maximum Likelihood (GML), Generalized Cross-Validation (GCV) and Mallow CP criterion (MCP) estimators for time-
Samuel Olorunfemi Adams +2 more
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