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Generalized additive model

Known as: Gam, Generalised additive model 
In statistics, a generalized additive model (GAM) is a generalized linear model in which the linear predictor depends linearly on unknown smooth… Expand
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Papers overview

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Highly Cited
2015
Highly Cited
2015
type="main" xml:id="rssc12068-abs-0001"> We consider an application in electricity grid load prediction, where generalized… Expand
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Highly Cited
2011
Highly Cited
2011
The problem of variable selection within the class of generalized additive models, when there are many covariates to choose from… Expand
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Highly Cited
2010
Highly Cited
2010
Nowadays, companies are investing in a well-considered CRM strategy. One of the cornerstones in CRM is customer churn prediction… Expand
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Highly Cited
2009
Highly Cited
2009
We propose a new sparsity-smoothness penalty for high-dimensional generalized additive models. The combination of sparsity and… Expand
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Highly Cited
2008
Highly Cited
2008
As a geological hazard, landslides cause extensive property damage and sometimes result in loss of life. Thus, it is necessary to… Expand
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Highly Cited
2007
Highly Cited
2007
presents Wilcoxon-type rank-sum precedence tests; Chapter 7 discusses the extension of the precedence-type tests from the… Expand
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Highly Cited
2006
Highly Cited
2006
Existing computationally efficient methods for penalized l ikelihood GAM fitting employ iterative smoothness selection on working… Expand
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Highly Cited
2006
Highly Cited
2006
Generalized additive models (GAM) for modeling nonlinear effects of continuous covariates are now well established tools for the… Expand
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Highly Cited
2006
Highly Cited
2006
Two statistical modelling techniques, generalized additive models (GAM) and multivariate adaptive regression splines (MARS), were… Expand
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Highly Cited
2004
Highly Cited
2004
Representation of generalized additive models (GAM's) using penalized regression splines allows GAM's to be employed in a… Expand
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