On Statistical Independence and Density Independence

Abstract In the first part we recall the notion of statistical independence. The second part is devoted to the definition of selective density and its connection with the distribution of sequences. Then we define the independence of sequences with respect to selective density. Finally, we prove that these two types of independence are equivalent.

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Publication Details

Journal
Tatra Mountains Mathematical Publications
Published
2025-06-24
DOI
https://doi.org/10.2478/tmmp-2025-0002
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
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article

On Statistical Independence and Density Independence

Milan Paštéka
Tatra Mountains Mathematical Publications
Neural Networks and Applications
article

On Statistical Independence and Density Independence

Milan Paštéka
article en

Abstract

Abstract In the first part we recall the notion of statistical independence. The second part is devoted to the definition of selective density and its connection with the distribution of sequences. Then we define the independence of sequences with respect to selective density. Finally, we prove that these two types of independence are equivalent.

Tatra Mountains Mathematical PublicationsVol. 89(1)
Slovak Academy of Sciences (SK)
Openalex Percentile: Top 93%
Neural Networks and Applications
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On Statistical Independence and Density Independence — Milan Paštéka · Tatra Mountains Mathematical Publications (2025) | TGRS Research Map | TGRS