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BayesianSoftware
In this paper we propose to use the Object-Oriented Bayesian Networks architecture to model measurement errors in the Italian Survey on Household Income and Wealth (SHIW) 2008 when the variable of interest is categorical. The network implemented is used to stochastically impute micro data for households. Potentialities and possible extensions of this approach are discussed
Variables are rarely, if ever, measured without error. In this paper we propose to use the Object-O...
In this paper the use of non-parametric Bayesian belief networks for modeling measurement error in ...
Variables are rarely, if ever, measured without error. In this paper we propose to use the Object-Or...
In this paper we propose to use the Object-Oriented Bayesian Networks architecture to model measure...
In this paper we propose to use the Object-Oriented Bayesian Networks architecture to model measure...
In this paper we propose to use the Object-Oriented Bayesian Networks architecture to model measure...
In this paper we propose to use the object-oriented Bayesian networks (OOBNs) architecture to model...
In this paper we propose to use the object-oriented Bayesian network architecture to model measureme...
Measurement error is the difference between a feature value provided by the respondent and the corre...
In this article, Object-Oriented Bayesian Networks (OOBN) are proposed as a tool to model measureme...
In this article, the quality of data produced by national statistical institutes and by governmenta...
In this paper Object-Oriented Bayesian networks are proposed as a tool to model measurement errors ...
In this paper Object-Oriented Bayesian networks are proposed as a tool to model measurement errors ...
Variables are rarely, if ever, measured without error. In this paper we propose to use the Object-O...
In this paper the problem of detection and correction of errors in the Banca d’Italia Survey on Hous...
Variables are rarely, if ever, measured without error. In this paper we propose to use the Object-O...
In this paper the use of non-parametric Bayesian belief networks for modeling measurement error in ...
Variables are rarely, if ever, measured without error. In this paper we propose to use the Object-Or...
In this paper we propose to use the Object-Oriented Bayesian Networks architecture to model measure...
In this paper we propose to use the Object-Oriented Bayesian Networks architecture to model measure...
In this paper we propose to use the Object-Oriented Bayesian Networks architecture to model measure...
In this paper we propose to use the object-oriented Bayesian networks (OOBNs) architecture to model...
In this paper we propose to use the object-oriented Bayesian network architecture to model measureme...
Measurement error is the difference between a feature value provided by the respondent and the corre...
In this article, Object-Oriented Bayesian Networks (OOBN) are proposed as a tool to model measureme...
In this article, the quality of data produced by national statistical institutes and by governmenta...
In this paper Object-Oriented Bayesian networks are proposed as a tool to model measurement errors ...
In this paper Object-Oriented Bayesian networks are proposed as a tool to model measurement errors ...
Variables are rarely, if ever, measured without error. In this paper we propose to use the Object-O...
In this paper the problem of detection and correction of errors in the Banca d’Italia Survey on Hous...
Variables are rarely, if ever, measured without error. In this paper we propose to use the Object-O...
In this paper the use of non-parametric Bayesian belief networks for modeling measurement error in ...
Variables are rarely, if ever, measured without error. In this paper we propose to use the Object-Or...
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