Results 1 to 10 of about 139,933 (114)
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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Cross-Validation Model Averaging for Generalized Functional Linear Model
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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Machine learning-based analysis of oral rinse samples to identify candidate proteomic signatures for severe periodontitis: a pilot study [PDF]
Scientific ReportsThis pilot study investigated whether candidate protein signatures from oral rinse samples can distinguish patients with severe periodontitis (stage III/IV) and its subtypes, generalized and localized periodontitis, from non-periodontitis controls ...
Madeline X. F. Kosho +2 more
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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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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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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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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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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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