Generalized Additive Models (GAMs)
Development of Generalized Additive Models (GAMs) for Salmo rizeensis Endemic to North-Eastern Streams of Turkey
... Generalized Additive Models (GAMs) are widely used statistical models for species distribution in habitat and environmental management modeling as they enable incorporation of ...
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Markov switching generalized additive models
... to models of the form given in ...of models from a much bigger class, which we term Markov-switching generalized additive models ...simply generalized additive ...
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Method for mapping population-based case-control studies: an application using generalized additive models
... Generalized additive models (GAMs) describe the rela- tionship between outcome and predictors without impos- ing specific parametric forms on the relationship ...[5]. GAMs provide a ...
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A power comparison of generalized additive models and the spatial scan statistic in a case-control setting
... Using Generalized Additive Models with Bivariate Smoothers, submitted) ...applying GAMs to observed and permuted ...applying GAMs to observed data using a range of possible span ...of ...
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Projecting UK mortality by using Bayesian generalized additive models
... The future level of mortality is of vital interest to policy makers and private insurers alike, as lower mortality results in greater expenditure on pension payments and higher social care spending. Individuals are ...
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Copula based generalized additive models for location, scale and shape with non random sample selection
... the generalized additive models for location, scale and shape which accounts for non-random sample selection by introducing a selection equation is ...The models can be easily employed via the ...
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Copula based generalized additive models for location, scale and shape with non-random sample selection
... the generalized additive models for location, scale and shape which accounts for non-random sample selection by introducing a selection equation is ...The models can be easily employed via the ...
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The relation between air pollution and respiratory deaths in Tehran, Iran- using generalized additive models
... Methods: In this ecological study, air pollution data was inquired from the Tehran Province Environmental Protection Agency and the Tehran Air Quality Control Company. Meteorological data was collected from the Tehran ...
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Generalized additive models as an alternative approach to the modelling of the tree height diameter relationship
... ABSTRACT: Generalized additive models were tested using three types of smoothing functions as an alternative for modelling the height ...The models were produced for 23 forest stands of Norway ...
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Combining Speech Retrieval Results with Generalized Additive Models
... mally” fit the data. If we knew the appropriate trans- formation of our covariates (say the logarithm), we could simply apply it ourselves. GAMs allow us to learn these transformations from the data, when we ...
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Spatial-temporal analysis of breast cancer in upper Cape Cod, Massachusetts
... set. Generalized additive models (GAMs), a type of statistical model that combines smoothing with the ability to analyze binary outcome data and adjust for covariates, provide a useful ...
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Fast Automatic Smoothing for Generalized Additive Models
... Most data analyses involving non-stationary extremes use a parametric or semi-parametric form in the location and/or scale parameters while keeping the shape a fixed scalar (Chavez- Demoulin and Davison, 2012, Section ...
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Modeling diarrhea disease in children less than 5 years old: a GAM and GLM approach
... A unique aspect of generalized additive models is the non-parametric functions of the predictor variables. Specifically, instead of some kind of simple or complex parametric functions, Hastie and ...
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Saturating Splines and Feature Selection
... In §2 we introduce a univariate function fitting problem, inspired by the adaptive spline estimation problem of Mammen and van de Geer (1997), that includes the additional re- quirement that the fitted function saturate. ...
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Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds
... hydrologic models, particularly in basins where data to support process-based models are ...(including generalized ad- ditive models, multivariate adaptive regression splines, arti- ficial ...
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Exploring the density dependent structure of blowfly populations by nonparametric additive modeling
... metric models have the benefits of easy interpretation and a well-developed inferential ...nonparametric models are potentially very use- ...such models allow the data to ‘‘speak for them- ...
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Bivariate copula additive models for location, scale and shape
... In generalized additive models for location, scale and shape (GAMLSS), the response dis- tribution is not restricted to belong to the exponential family and all the model’s parameters can be made ...
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Cumulative solar ultraviolet radiation exposure and basal cell carcinoma of the skin in a nationwide US cohort using satellite and ground-based measures
... Table 2, Fig. 1 and Additional file 1: Table S4 demon- strate the strongly increasing risk of BCC with increasing cumulative UVR radiant exposure, so that using the AVGLO ground-based data a UVR cumulative radiant ex- ...
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Environmental and anthropogenic factors affecting the probability of occurrence of Oncomegas wageneri (Cestoda: Trypanorhyncha) in the southern Gulf of Mexico
... The frequency of the spatial component in the boosted GAM of O. wageneri (summing the bspatial and the PCNMs variability) was very small (1.45 %) (Table 2). This result suggests that the spatial autocorrelation had a ...
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Modeling perinatal mortality in twins via generalized additive mixed models: a comparison of estimation approaches
... The effect of relative birthweight was also confirmed by Luo et al. [5] but they did not find any significant associ- ation between birth order and perinatal mortality when both twins had similar (within ±5%) ...
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