Results 11 to 20 of about 5,783,966 (296)
Efficient algorithms for robust generalized cross-validation spline smoothing [PDF]
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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Media Statistika, 2022 Coronavirus disease 2019 (COVID-19) is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which was recently discovered.
Tiani Wahyu Utami, Aisyah Lahdji
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Applied Sciences, 2020 Smoothing is one of the fundamental procedures in functional data analysis (FDA). The smoothing parameter λ influences data smoothness and fitting, which is governed by selecting automatic methods, namely, cross-validation (CV) and generalized ...
Muhammad Athif Mat Zin +3 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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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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Procrustes Cross-Validation — a Bridge Between Cross-Validation and Independent Validation Set [PDF]
, 2020 In this paper we propose a new approach for validation of chemometric models. It is based on k-fold cross-validation algorithm, but, in contrast to conventional cross-validation, our approach makes possible to create a new dataset, which carries sampling
Sergei, Zhilin +3 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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Predicted Residual Error Sum of Squares of Mixed Models: An Application for Genomic Prediction
G3: Genes, Genomes, Genetics, 2017 Genomic prediction is a statistical method to predict phenotypes of polygenic traits using high-throughput genomic data. Most diseases and behaviors in humans and animals are polygenic traits. The majority of agronomic traits in crops are also polygenic.
Shizhong Xu
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