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Title Bayesian regression analysis with linked data using mixture normal distributions
Edition
Call Number
ISBN/ISSN 0932-5026
Author(s) Afshin Fallah
Mohsen Mohammadzadeh
Subject(s)
Classification
Series Title Statistical Papers
GMD Electronic Journal
Language English
Publisher Springer Berlin / Heidelberg
Publishing Year
Publishing Place Berlin / Heidelberg
Collation 10p
Abstract/Notes The probabilistic uncertainty in record linkage affects statistical analysis
such as regression analysis of linked data. This paper considers Bayesian regression
analysis with linked data and shows that despite using the usual normal regression
analysis, the least squares type estimators of regression coefficients are not always
adequate. A method is proposed in which the distribution of the response variable is
used. This method is related to finite mixture analysis and leads to more accurate estimations.
A simple approach has been proposed to increase the tractability and reduce
the number of mixture components. A Monte Carlo simulation study is also performed
to assess the proposed approach.
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