Bayesian Influence Analysis of the Skew-Normal Spatial Autoregression Models
نویسندگان
چکیده
In spatial data analysis, outliers or influential observations have a considerable influence on statistical inference. This paper develops Bayesian including the local approach and case measures in skew-normal autoregression models (SSARMs). The method is proposed to evaluate impact of small perturbations data, distribution sampling prior. To measure extent different SSARMs, Bayes factor, ?-divergence posterior mean distance are established. A presented examine points SSARMs. potential identified by Cook’s mode ?-divergence. analysis formulation given. Simulation studies examples verify effectiveness methodologies.
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ژورنال
عنوان ژورنال: Mathematics
سال: 2022
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math10081306