Skip to content

Modelling temporal uncertainty in historical/archaeological datasets

License

Notifications You must be signed in to change notification settings

sdam-au/tempun_demo

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

56 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Modelling Temporal Uncertainty in Historical Datasets

Purpose

  • This reposotory serves as a suplementary material for a paper called "Modeling Temporal Uncertainty in Historical Datasets", demonstrating the potential of a Monte Carlo approach and other methods to model temporal uncertainty in historical datasets.
  • Kaše, Vojtěch, Adéla Sobotkova, and Petra Heřmánková. 2023. ‘Modeling Temporal Uncertainty in Historical Datasets’. Proceedings of the Computational Humanities Research Conference 2023, 413–25. https://ceur-ws.org/Vol-3558/paper5123.pdf.

Authors

License

CC-BY-SA 4.0, see attached License.md

Software

  1. Python3
  2. Jupyter Notebooks

Releases

No releases published

Packages

 
 
 

Contributors