A Bayesian Approach to the Selection of Predictor Variables NICHD
- Author(s):
-
Novick, Melvin R.
- Publication Year:
- 1969
- Report Number:
-
RB-69-58
- Source:
-
ETS Research Bulletin
- Document Type:
- Report
- Page Count:
- 15
- Subject/Key Words:
-
National Institute for Child Health and Human Development (NICHD),
Bayesian Statistics,
Lindley, D. V.,
Mathematical Models,
Multiple Regression Analysis,
Predictor Variables
Abstract
Some work of Lindley on a Bayesian structural model is shown to be relevant to the problem of the selection of predictor variables. It is suggested that estimates of regression parameters be regressed toward a mean value and that the resulting attenuated estimate of the multiple correlation be adopted. These regressed estimates are derived from a general Bayesian normal law analysis.
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