Generalized linear model

Known as: Link function, General linear modeling, Generalized linear models 
In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary linear regression that allows for response variables that… (More)
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Highly Cited
2010
Highly Cited
2010
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of… (More)
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Highly Cited
2008
Highly Cited
2008
Dynamic Bayesian models are developed for application in nonlinear, non-normal time series and regression problems, providing… (More)
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Highly Cited
2006
Highly Cited
2006
In this study, we introduce a path-following algorithm for L1 regularized generalized linear models. The L1 regularization… (More)
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Highly Cited
2005
Highly Cited
2005
Introducing a new hobby for other people may inspire them to join with you. Reading, as one of mutual hobby, is considered as the… (More)
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Highly Cited
2005
Highly Cited
2005
This paper proposes an extension of generalized linear models to the analysis of longitudinal data. We introduce a class of… (More)
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Highly Cited
2005
Highly Cited
2005
We propose a class of double hierarchical generalized linear models in which random effects can be specified for both the mean… (More)
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Highly Cited
2004
Highly Cited
2004
The penalized quasi-likelihood (PQL) approach is the most common estimation procedure for the generalized linear mixed model… (More)
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Highly Cited
2002
Highly Cited
2002
Now, we come to offer you the right catalogues of book to open. multivariate statistical modelling based on generalized linear… (More)
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Highly Cited
2002
Highly Cited
2002
In this paper we present a technique for extending generalized linear models (GLM) to the situation where some of the predictor… (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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