Results 11 to 20 of about 311,144 (289)
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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Regularization for Generalized Additive Mixed Models by Likelihood-Based Boosting [PDF]
, 2011 With the emergence of semi- and nonparametric regression the generalized linear mixed model has been expanded to account for additive predictors. In the present paper an approach to variable selection is proposed that works for generalized additive mixed
Groll, Andreas, Tutz, Gerhard
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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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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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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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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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BayesX: Analysing Bayesian structured additive regression models [PDF]
, 2003 There has been much recent interest in Bayesian inference for generalized additive and related models. The increasing popularity of Bayesian methods for these and other model classes is mainly caused by the introduction of Markov chain Monte Carlo (MCMC)
Brezger, Andreas +2 more
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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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