What is a Generalized Linear Model? A traditional linear model is of the form where yi is the response variable for the i th observation. The quantity xi is a column vector of covariates, or ...

In this paper, we extend to generalized linear models the robust model selection methodology of Müller and Welsh (2005). As in Müller and Welsh (2005), we combine a robust penalized measure of fit to ...

Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...

This model provides an extension of a covariate-adjusted regression approach to the case of a generalized linear model. We demonstrate that this contamination model leads to a semiparametric ...

Course TopicsIn many applications, the response variable is not Normally distributed. GLM can be used to analyze data from various non-Normal distributions. In this short course, we will introduce two ...

Article Published: 10 April 2013 A unifying framework for robust association testing, estimation, and genetic model selection using the generalized linear model Christina Loley, Inke R König ...

Variable names the variable associated with the estimated parameter. The name INTERCEPT represents the estimate of the intercept parameter. DF is the degrees of freedom associated with each parameter ...

Since 1987, MCEER, formerly the Multidisciplinary Center for Earthquake Engineering Research (MCEER) and the National Center for Earthquake Engineering Research ( NCEER), has produced over 600 ...