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Bayesian Semiparametric Regression: An Exposition and Application to Print Advertising Data

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Author Info
Smith, M.
Mathur, S.K.
Kohn, R.

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Abstract

A new regression based approach is proposed for modeling marketing databases. The approach is Bayesian and provides a number of significant improvements over current methods. Independent variables can enter into the model in either a parametric or nonparametric manner, significant variables can be identified from a large number of potential regressors and an appropriate transformation of the dependent variable can be automatically selected from a discrete set of pre-specified candidate transformations.

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Publisher Info
Paper provided by Monash University, Department of Econometrics and Business Statistics in its series Monash Econometrics and Business Statistics Working Papers with number 13/97.

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Length: 42 pages
Date of creation: 1997
Date of revision:
Handle: RePEc:msh:ebswps:1997-13

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Related research
Keywords: ECONOMETRICS

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Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods

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