Variational Bayes and non-Bayesian Updating
Tomasz Strzalecki
TL;DR
This paper demonstrates how variational Bayes methods can serve as a foundational framework for understanding non-Bayesian updating processes in statistical modeling.
Contribution
It introduces a novel perspective linking variational Bayes to non-Bayesian updating, providing a new theoretical foundation.
Findings
Variational Bayes can underpin non-Bayesian updating models.
The approach offers a microfoundation for non-Bayesian updating.
Potential applications in statistical inference and decision-making.
Abstract
I show how variational Bayes can be used as a microfoundation for a popular model of non-Bayesian updating.
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Taxonomy
TopicsForecasting Techniques and Applications · Statistical Methods and Inference