Results 11 to 20 of about 62,879 (156)
Land-Subsidence Spatial Modeling Using Generalized Additive Model Data Mining Technique [PDF]
پژوهشهای آبخیزداری, 2017 Land-subsidence phenomenon is one of the geomorphologic hazards known in arid and semi-arid areas in recent years. The main objective of the present study is to provide a land-subsidence spatial modeling and its assessment using the generalized additive ...
Hamid Reza Pourghasemi +1 more
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Mapping spatial patterns of plant species based on machine-learning and regression models [PDF]
Desert, 2022 Various statistical techniques have been used for species distribution modeling that attempt to predict the occurrence of a given species with respect to environmental conditions.
H. Keshtkar, P. Pourmohammad
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Revista de Saúde Pública, 2014 OBJECTIVE To analyze the association between concentrations of air pollutants and admissions for respiratory causes in children. METHODS Ecological time series study.
Juliana Bottoni de Souza +3 more
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Distribution Modeling of Protective and Valuable Plant Species in the Tourist Area of Polour Using Generalized Linear Model (GLM) and Generalized Additive Model(GAM) [PDF]
جغرافیا و توسعه, 2017 The prediction models of geographical distribution of the plant species are probabilistic and static models. They determinate the mathematical equations governing on geographical distribution of species with their current environment and environmental ...
Zeinab Jafarian, Mansoureh Kargar
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Generalized Sparse Additive Models
Journal of machine learning research : JMLR, 2019 We present a unified framework for estimation and analysis of generalized additive models in high dimensions. The framework defines a large class of penalized regression estimators, encompassing many existing methods. An efficient computational algorithm for this class is presented that easily scales to thousands of observations and features.
Haris, Asad, Simon, Noah, Shojaie, Ali
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Vector Generalized Additive Models
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1996 SUMMARY Vector smoothing is used to extend the class of generalized additive models in a very natural way to include a class of multivariate regression models. The resulting models are called ‘vector generalized additive models‘. The class of models for which the methodology gives generalized additive extensions includes the multiple ...
Yee, T. W., Wild, C. J.
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Journal of Dairy Science, 2022 : Reduction of milk yield is one of the principal components in the cost of mastitis. However, past research into the association between milk yield and mastitis indicators is limited.
John Bonestroo +5 more
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Using flexible regression models for calculating hospital’s production functions
BMC Health Services Research, 2020 Background The relative lack of flexibility of parametric models has led to the development of nonparametric regression techniques based on the family of generalized additive models. However, despite the potential advantages of using Generalized Additive
Francisco Reyes-Santías +2 more
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Just Another Gibbs Additive Modeler: Interfacing JAGS and mgcv
Journal of Statistical Software, 2016 The BUGS language offers a very flexible way of specifying complex statistical models for the purposes of Gibbs sampling, while its JAGS variant offers very convenient R integration via the rjags package.
Simon N. Wood
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Fisheries and Aquatic Sciences, 2020 Three generalized additive models were applied to the distribution of anchovy eggs and oceanographic factors to determine the occurrence of anchovy spawning grounds in Korean waters and to identify the indicators of their occurrence using ...
Jin Yeong Kim +2 more
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