A Bayesian Approach to Survivorship Bias in Historical Data Analysis

Datasets such as Seshat have allowed researchers to quantitatively test hypotheses about premodern societies and states with great success. Nevertheless, one has to take into account potential sources of bias in the data such as a survivorship bias favouring the inclusion of long-lived over short-lived states. Bayesian methods can be used to complement standard modelling procedures to take this issue into account as is demonstrated by analysing the longevity distribution of premodern states.

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Publication Details

Journal
Cliodynamics The Journal of Quantitative History and Cultural Evolution
Published
2024-08-23
DOI
https://doi.org/10.21237/c7clio15163477
Citations
1
Primary Topic
Statistical Methods and Inference
Type
article
Field-Weighted Citation Impact
0.71
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article

A Bayesian Approach to Survivorship Bias in Historical Data Analysis

Tobias Wand
1 citations
Cliodynamics The Journal of Quantitative History and Cultural Evolution
Statistical Methods and Inference
0.71
article

A Bayesian Approach to Survivorship Bias in Historical Data Analysis

Tobias Wand
article en
1 citations

Abstract

Datasets such as Seshat have allowed researchers to quantitatively test hypotheses about premodern societies and states with great success. Nevertheless, one has to take into account potential sources of bias in the data such as a survivorship bias favouring the inclusion of long-lived over short-lived states. Bayesian methods can be used to complement standard modelling procedures to take this issue into account as is demonstrated by analysing the longevity distribution of premodern states.

Cliodynamics The Journal of Quantitative History and Cultural EvolutionVol. 15(1)
Institute of Theoretical Physics (CN)
Openalex Percentile: Top 27%
Statistical Methods and Inference
0.71
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