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Bayesian predictive simultaneous variable and transformation selection in the linear model.
| Content Provider | CiteSeerX |
|---|---|
| Author | Hoeting, Jennifer A. Ibrahim, Joseph G. |
| Abstract | this paper, we propose two variable and transformation selection procedures on the predictor variables in the linear model. The first procedure is a simultaneous variable and transformation selection procedure. For data sets with many predictors, a stepwise variable selection procedure is also presented. The procedures are based on Bayesian model selection criteria introduced by Ibrahim and Laud (1994) and Laud and Ibrahim (1995). Several examples are given to illustrate the methodology. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Linear Model Bayesian Predictive Simultaneous Variable Transformation Selection Transformation Selection Procedure Stepwise Variable Selection Procedure First Procedure Predictor Variable Data Set Many Predictor Bayesian Model Selection Criterion Several Example Simultaneous Variable |
| Content Type | Text |