Economics of disagreement -- financial intuition for the R\'enyi divergence
Andrei N. Soklakov

TL;DR
This paper introduces a novel approach to understanding disagreements in probabilistic models by linking the Re9nyi divergence to financial investment strategies, providing practical intuition and mechanisms for resolution.
Contribution
It proposes a financial economics framework to interpret and resolve probabilistic disagreements, connecting Re9nyi divergence to investment performance and social market mechanisms.
Findings
Disagreements can be transformed into investment opportunities.
Financial performance quantifies the extent of disagreement.
Social mechanisms can facilitate resolution of complex disagreements.
Abstract
Disagreement is an essential element of science and life in general. The language of probabilities and statistics is often used to describe disagreements quantitatively. In practice, however, we want much more than that. We want disagreements to be resolved. This leaves us with a substantial knowledge gap which is often perceived as a lack of practical intuition regarding probabilistic and statistical concepts. Take for instance the R\'enyi divergence which is a well-known statistical quantity specifically designed as a measure of disagreement between probabilistic models. Despite its widespread use in science and engineering, the R\'enyi divergence remains a highly abstract axiomatically-motivated measure. Certainly, it offers no practical insight as to how disagreements can be resolved. Here we propose to address disagreements using the methods of financial economics. In…
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Taxonomy
TopicsStatistical Mechanics and Entropy · Complex Systems and Time Series Analysis
