Modeling Temporal Uncertainty in Historical Datasets

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23330%2F23%3A43971021" target="_blank" >RIV/49777513:23330/23:43971021 - isvavai.cz</a>
Result on the web
<a href="https://ceur-ws.org/Vol-3558/paper5123.pdf" target="_blank" >https://ceur-ws.org/Vol-3558/paper5123.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Modeling Temporal Uncertainty in Historical Datasets
Original language description
This paper explores several approaches to assess temporal trends within archaeological and historical datasets containing records marked with signifcant extent of uncertainty accompanying their dating. We evaluate the strengths and pitfalls of these methodologies by employing two datasets: one comprising ancient shipwrecks and the other ancient Greek inscriptions. While these objects can, in principle, be precisely dated to specific years, they are often assigned broader date ranges, spanning centuries or longer historical periods. We propose that the most promising approaches involve using these date ranges as defining probabilities. By randomly assigning specific dates based on these probabilities, we enable hypothesis testing for temporal trends. As we want to encourage other scholars to employ the methods we propose, we offer a detailed description of the implementation of these methods using functions from the Python tempun package.
Czech name
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Czech description
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Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Conference on Computational Humanities Research 2023
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
13
Pages from-to
413-425
Publisher name
CEUR-WS
Place of publication
Paříž
Event location
Paříž
Event date
Dec 6, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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