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Main Authors: Cao, Zhixing, Wang, Yiling, Grima, Ramon
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2405.17530
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author Cao, Zhixing
Wang, Yiling
Grima, Ramon
author_facet Cao, Zhixing
Wang, Yiling
Grima, Ramon
contents We report the existence of deterministic patterns in plots showing the relationship between the mean and the Fano factor (ratio of variance and mean) of stochastic count data. These patterns are found in a wide variety of datasets, including those from genomics, paper citations, commerce, ecology, disease outbreaks, and employment statistics. We develop a theory showing that the patterns naturally emerge when data sampled from discrete probability distributions is organised in matrix form. The theory precisely predicts the patterns and shows that they are a function of only one variable - the sample size.
format Preprint
id arxiv_https___arxiv_org_abs_2405_17530
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Universal deterministic patterns in stochastic count data
Cao, Zhixing
Wang, Yiling
Grima, Ramon
Quantitative Methods
Data Analysis, Statistics and Probability
Physics and Society
We report the existence of deterministic patterns in plots showing the relationship between the mean and the Fano factor (ratio of variance and mean) of stochastic count data. These patterns are found in a wide variety of datasets, including those from genomics, paper citations, commerce, ecology, disease outbreaks, and employment statistics. We develop a theory showing that the patterns naturally emerge when data sampled from discrete probability distributions is organised in matrix form. The theory precisely predicts the patterns and shows that they are a function of only one variable - the sample size.
title Universal deterministic patterns in stochastic count data
topic Quantitative Methods
Data Analysis, Statistics and Probability
Physics and Society
url https://arxiv.org/abs/2405.17530