Posterior Influence Function in Linear Regression Model
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Graphical Abstract
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Abstract
In this paper, we define posterior influence function in linear regression model, decompose it into a sum of meaningful terms for three different situations, show its merits, clarify the relationship of influential observations, high leverage cases and outliers. We also discuss the detection of these points.
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