Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/472
DC FieldValueLanguage
dc.contributor.authorPorčić, Markoen_US
dc.contributor.authorNikolić, Mladenen_US
dc.date.accessioned2022-08-13T09:51:51Z-
dc.date.available2022-08-13T09:51:51Z-
dc.date.issued2016-03-01-
dc.identifier.issn18669557en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/472-
dc.description.abstractDemographic 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.en
dc.relation.ispartofArchaeological and Anthropological Sciencesen
dc.subjectApproximate Bayesian Computationen
dc.subjectArchaeological demographyen
dc.subjectLepenski Viren
dc.subjectMesolithicen
dc.subjectNeolithicen
dc.titleThe Approximate Bayesian Computation approach to reconstructing population dynamics and size from settlement data: demography of the Mesolithic-Neolithic transition at Lepenski Viren_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s12520-014-0223-2-
dc.identifier.scopus2-s2.0-84961126473-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84961126473-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.relation.firstpage169en
dc.relation.lastpage186en
dc.relation.volume8en
dc.relation.issue1en
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeArticle-
crisitem.author.deptInformatics and Computer Science-
Appears in Collections:Research outputs
Show simple item record

SCOPUSTM   
Citations

24
checked on Dec 18, 2024

Page view(s)

16
checked on Dec 24, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.