On the Use of Grouped Covariate Regression in Oversaturated Models
As data collection techniques improve, oftentimes the number of covariates exceeds the number of observations. When this happens, regression models become oversaturated and, thus, inestimable. Many classical and Bayesian techniques have been designed to combat this difficulty, with various means of...
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Virginia Tech
2015
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| Online Access: | http://hdl.handle.net/10919/64363 |