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… (More)
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Topic mentions per year

Topic mentions per year

1974-2018
020406019742018

Papers overview

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2011
2011
We study the coverage properties of Bayesian confidence intervals for the smooth component functions of generalized additive… (More)
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Highly Cited
2007
Highly Cited
2007
 
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2007
2007
Logistic Regression has been widely used in the financial service industry for credit scoring models. Despite its advantages in… (More)
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2007
2007
Generalized additive models have been popular among statisticians and data analysts in multivariate nonparametric regression with… (More)
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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… (More)
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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… (More)
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2005
2005
  • 2005
In the statistical analysis of clinical trials and observational studies, the identification and adjustment for prognostic… (More)
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Highly Cited
2003
Highly Cited
2003
Generalized additive models (GAMs) have become an elegant and practical option in model building. Estimation of a smooth GAM… (More)
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2002
2002
  • Lijian Yanga, Stefan Sperlichb, ardlec Wolfgang H
  • 2002
Estimation and testing procedures for generalized additive (interaction) models are developed. We present extensions of several… (More)
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Highly Cited
1990
Highly Cited
1990
  • Ttcvor Hastie
  • 1990
Liklihood based regression models, such as the normal linear regression model and the linear logistic model, assume a linear (or… (More)
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