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.
Authors
- Tobias Wand (ORCID: https://orcid.org/0000-0001-9391-1601)
Institutions
- Institute of Theoretical Physics (CN)
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