On statistical independence and density independence
Milan Pasteka

TL;DR
This paper investigates the concept of statistical independence in real sequences, focusing on its characterization through independence relative to specific classes of density functions.
Contribution
It introduces a new perspective on statistical independence by examining its relation to density-based independence for real sequences.
Findings
Provides a theoretical framework for density-based independence
Characterizes conditions under which sequences are independent with respect to densities
Enhances understanding of independence in the context of real sequences
Abstract
The object of observation in present paper is statistical independence of real sequences and its description as independence with re spect to certain class of densities.
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Taxonomy
TopicsNeural Networks and Applications · Statistical Methods and Inference · Rough Sets and Fuzzy Logic
