Please use this identifier to cite or link to this item:
https://research.matf.bg.ac.rs/handle/123456789/472
Title: | The Approximate Bayesian Computation approach to reconstructing population dynamics and size from settlement data: demography of the Mesolithic-Neolithic transition at Lepenski Vir | Authors: | Porčić, Marko Nikolić, Mladen |
Affiliations: | Informatics and Computer Science | Keywords: | Approximate Bayesian Computation;Archaeological demography;Lepenski Vir;Mesolithic;Neolithic | Issue Date: | 1-Mar-2016 | Journal: | Archaeological and Anthropological Sciences | Abstract: | Demographic aspects of prehistoric populations have an important role in current archaeological theory and empirical research. In this study, we develop a method to estimate population dynamics and population size and apply it to data on house remains at one of key European Mesolithic-Neolithic transitional sites - Lepenski Vir (Serbia). Lepenski Vir is a site located in the Danube Gorges, well-known for its trapezoidal house floors and stone sculpture. It was most intensively occupied between ~6200 and ~6000 cal BC, the so called Transitional phase, which corresponds to the beginning of the Neolithic in Central Balkans. We combine archaeological evidence and ethnographic information with mathematical models of population dynamics and house accumulation within a Bayesian framework (Approximate Bayesian Computation) to derive posterior distributions of growth rate and population size estimates for the Lepenski Vir population in this period. |
URI: | https://research.matf.bg.ac.rs/handle/123456789/472 | ISSN: | 18669557 | DOI: | 10.1007/s12520-014-0223-2 |
Appears in Collections: | Research outputs |
Show full item record
SCOPUSTM
Citations
24
checked on Dec 18, 2024
Page view(s)
16
checked on Dec 23, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.