The theory of informity: a novel probability framework

This paper proposes a novel probability framework, called the theory of informity. We define a mathematical quantity called "informity" to quantitatively measure the degree of informativeness of a probability distribution (or a probability system). We also define two other quantities: cross-informity and joint informity. We propose an informity metric that can be used as an alternative to entropy metric. The informities for twelve continuous distributions are given. Three examples are presented to demonstrate the practicability of the proposed informity metric.

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Publication Details

Journal
Bulletin of Taras Shevchenko National University of Kyiv Series Physics and Mathematics
Published
2025-01-01
DOI
https://doi.org/10.17721/1812-5409.2025/1.7
Citations
6
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
7.94
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article

The theory of informity: a novel probability framework

6 citations
Bulletin of Taras Shevchenko National University of Kyiv Series Physics and Mathematics
Complex Network Analysis Techniques
7.94
article

The theory of informity: a novel probability framework

article en
6 citations

Abstract

This paper proposes a novel probability framework, called the theory of informity. We define a mathematical quantity called "informity" to quantitatively measure the degree of informativeness of a probability distribution (or a probability system). We also define two other quantities: cross-informity and joint informity. We propose an informity metric that can be used as an alternative to entropy metric. The informities for twelve continuous distributions are given. Three examples are presented to demonstrate the practicability of the proposed informity metric.

Bulletin of Taras Shevchenko National University of Kyiv Series Physics and Mathematics(1)
Teledyne Princeton Instruments (United States) (US), Teledyne Technologies (United States) (US)
Openalex Percentile: Top 2%
Complex Network Analysis Techniques
7.94
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