Results 1 to 10 of about 125,360 (256)
Cross-Validation Model Averaging for Generalized Functional Linear Model [PDF]
Econometrics, 2020 Functional data is a common and important type in econometrics and has been easier and easier to collect in the big data era. To improve estimation accuracy and reduce forecast risks with functional data, in this paper, we propose a novel cross ...
Haili Zhang, Guohua Zou
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Determination of the best knot and bandwidth in geographically weighted truncated spline nonparametric regression using generalized cross validation [PDF]
MethodsX, 2023 This study proposes the development of nonparametric regression for data containing spatial heterogeneity with local parameter estimates for each observation location.
Robiansyah Putra +2 more
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Determination of the best multivariate adaptive geographically weighted generalized Poisson regression splines model employing generalized cross-validation in dengue fever cases [PDF]
MethodsX, 2023 This article constructs a new model based on multivariate adaptive generalized Poisson regression splines (MAGPRS) and geographically weighted generalized Poisson regression (GWGPR), which is known as multivariate adaptive geographically weighted ...
Riry Sriningsih +2 more
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An Impact Load History Reconstruction Method for Composite Structures Based on FBG Sensing Data and the GCV Principle [PDF]
SensorsAccurately and promptly acquiring the load history characteristics of impact events on composite aircraft structures is crucial for identifying impact-induced damage and developing high-fidelity digital twin models.
Jie Zeng +6 more
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Applied Sciences, 2021 The inversion of potential field data has widely utilized the generalized cross-validation (GCV) and the unbiased predictive risk estimator (UPRE) methods to determine the regularization parameter.
Yuan Fang +3 more
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Generalized cross validation for ℓp-ℓq minimization [PDF]
Numerical Algorithms, 2021 AbstractDiscrete ill-posed inverse problems arise in various areas of science and engineering. The presence of noise in the data often makes it difficult to compute an accurate approximate solution. To reduce the sensitivity of the computed solution to the noise, one replaces the original problem by a nearby well-posed minimization problem, whose ...
Buccini A., Reichel L.
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IEEE Access, 2021 Electrical impedance tomography (EIT) is a noninvasive functional diagnostic technique that has been successfully applied to human lung and brain. EIT reconstruction is an ill-conditioned problem: the regularization parameters establish a trade-off ...
Weirui Zhang +8 more
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The generalized cross validation filter [PDF]
Automatica, 2018 Generalized cross validation (GCV) is one of the most important approaches used to estimate parameters in the context of inverse problems and regularization techniques. A notable example is the determination of the smoothness parameter in splines. When the data are generated by a state space model, like in the spline case, efficient algorithms are ...
Bottegal, Giulio, Pillonetto, Gianluigi
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Cauchy: Jurnal Matematika Murni dan Aplikasi, 2021 Population poverty is one of the serious problems in Indonesia. The percentage of population poverty used as a means for a statistical instrument to be guidelines to create standard policies and evaluations to reduce poverty. The aims of the research are
Ria Dhea Layla Nur Karisma +2 more
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Multi-label Classification Using Vector Generalized Additive Model via Cross-Validation
Journal of ICT, 2023 Multi-label classification is a unique challenge in machine learning designed for two targets with each containing one or multiple classes. This problem can be resolved using several methods, including the classification of the targets individually or ...
Amri Muhaimin +2 more
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