A Bayesian Test for the comparison of two independent populations
In this paper, we propose a testing procedure that allows to compare pa-rameter functions
from two independent populations. We address this issue through a test based on the
Bayesian Discrepancy Measure, a measure of evidence recently introduced in the literature.
This approach is flexible, as it can be adapted to take into account different distributions and
different parameter transformations. In ad-dition, this methodology enables us to tackle
problems that are not yet covered in the literature.
from two independent populations. We address this issue through a test based on the
Bayesian Discrepancy Measure, a measure of evidence recently introduced in the literature.
This approach is flexible, as it can be adapted to take into account different distributions and
different parameter transformations. In ad-dition, this methodology enables us to tackle
problems that are not yet covered in the literature.
Abstract
In this paper, we propose a testing procedure that allows to compare pa-rameter functions from two independent populations. We address this issue through a test based on the Bayesian Discrepancy Measure, a measure of evidence recently introduced in the literature. This approach is flexible, as it can be adapted to take into account different distributions and different parameter transformations. In ad-dition, this methodology enables us to tackle problems that are not yet covered in the literature.
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