Sensitivity to Prior Specification in Bayesian Identification of Autoregressive Time Series Models

Abstract

Kullback-Leibler divergence is used to measure the distance between the posteriors of the autoregressive model order, aiming to evaluate the sensitivity of the model identification to different types of priors.

Publication
In Pakistan Journal of Statistics and Operation Research
Date
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Ayman A. Amin
Assistant Professor of Statistics
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