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The software package msBayes implements such an approach in an approximate-Bayesian model-choice framework [ 3, 4].
I introduced a new model for estimating shared divergence histories across taxa from DNA sequence data within an approximate-Bayesian model-choice framework.
In [4] Horowitz presented a trip frequency, destination and mode choice modelling framework able to incorporate (still within a trip-based framework) some inter-trip dependencies.
The effects of all these factors were simultaneously estimated using a hybrid choice modeling framework.
To alleviate this limitation, we propose a new choice modeling framework to capture the dynamic influence from social networks on consumer adoption of new products.
In this study, we present, based on econometric choice modeling framework, how manufacturing managers/executives trade-off between cost, delivery, flexibility, and service features in the supplier selection process for commodity raw materials, given acceptable quality.
It briefly explores how the nature of the information flow between the models at the different scales is influenced by the choice of framework, and presents some restrictions on model framework compatibility.
Another spectrum that can be used to describe models and that influences choice of simulation framework is that between inductive and synthetic modeling.
Further support for the choice of modeling framework is given by the significant correlations between the unobservables in the choice equations.
These findings suggested that results are robust to the choice of modeling framework.
In fact, the Bayesian framework recognizes that model choice possess uncertainty insofar as a particular model is typically chosen based on prior knowledge of the problem at hand and the variables that have been used in previously specified models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com