Detecting variability: A study on the application of bayesian multilevel modelling to archaeological data: Evidence from the Neolithic Adriatic and the Bronze Age Aegean

Christianne L Fernée; Konstantinos P Trimmis

doi:10.1016/j.jas.2021.105346

Detecting variability: A study on the application of bayesian multilevel modelling to archaeological data: Evidence from the Neolithic Adriatic and the Bronze Age Aegean

Christianne L Fernée, Konstantinos P Trimmis

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7 Citations (Scopus)

142 Downloads (Pure)

Abstract

The detection and interpretation of variability in archaeological data has been a long-standing effort in the field. This paper aims to introduce the application of Bayesian multilevel modelling as a tool for the detection of variability at levels within nested archaeological data. Model structure, ways of construction, and the potential of using variability information to enhance archaeological interpretations is presented. This is demonstrated through the analysis of two case study datasets: Neolithic pottery finds from Mala (Nova) Pe ́cina cave excava- tions in Croatia and stone finds from the Bronze Age site of Akrotiri, Thera, Greece. This is followed by a dis- cussion of the multilevel model results and the possible interpretations that can be derived from them. Finally, propositions are made on how these and other models can be extended.

Original language	English
Article number	105346
Number of pages	14
Journal	Journal of Archaeological Science
Volume	128
Early online date	6 Mar 2021
DOIs	https://doi.org/10.1016/j.jas.2021.105346
Publication status	Published - 1 Apr 2021

Bibliographical note

Funding Information:
The application of multilevel modelling to archaeological data was part of the PhD research by C.L.F funded by AHRC-SWW DTP , UK and British Association of Biological Anthropology and Osteoarchaeology, UK . The relationship between spatial statistics and archaeological theory, and the excavations in Mala Pećina were part of the PhD research by K.P.T supported by Matti Egon II scholarship of the Greek Archaeological Committee , UK and the British Cave Research Association , UK. Research on the Akrotiri spheres has been partially supported by the KA201-079065 EU grant. Authors would like to thank, Dr Ivan Drnić for providing access to the Mala Pećina data, Dr Tania Devetzi and Professor Christos Doumas who made the material from Akrotiri spheres available, and Argyris Mavromatis, Lefteris Zorzos and Maria Karra for their help on Santorini.

Publisher Copyright:
© 2021 The Authors

Keywords

variability
archaeological data
multilevel modelling
Bayesian statistics in archaeology
Akrotiri Thera
Neolithic Adriatic

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7 Citations
2 Article (Academic Journal)

The rolling stones of Bronze Age Aegean: Applying machine learning to explore the use of lithic spheres from Akrotiri, Thera
Fernee, C. & Trimmis, K. P., 9 Sept 2022, In: Journal of Archaeological Science: Reports. 45, 8 p., 103615.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
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66 Downloads (Pure)
An elegy of stone and light: Applying digital imaging methods for the recording of the Aegean stone kernoi in the context of Akrotiri, Thera
Trimmis, K. P., 11 Nov 2021, In: Journal of Archaeological Science: Reports. 40, 103249.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
4 Citations (Scopus)

85 Downloads (Pure)

Cite this

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title = "Detecting variability: A study on the application of bayesian multilevel modelling to archaeological data: Evidence from the Neolithic Adriatic and the Bronze Age Aegean",

abstract = "The detection and interpretation of variability in archaeological data has been a long-standing effort in the field. This paper aims to introduce the application of Bayesian multilevel modelling as a tool for the detection of variability at levels within nested archaeological data. Model structure, ways of construction, and the potential of using variability information to enhance archaeological interpretations is presented. This is demonstrated through the analysis of two case study datasets: Neolithic pottery finds from Mala (Nova) Pe{\' }cina cave excava- tions in Croatia and stone finds from the Bronze Age site of Akrotiri, Thera, Greece. This is followed by a dis- cussion of the multilevel model results and the possible interpretations that can be derived from them. Finally, propositions are made on how these and other models can be extended.",

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Detecting variability: A study on the application of bayesian multilevel modelling to archaeological data: Evidence from the Neolithic Adriatic and the Bronze Age Aegean. / Fernée, Christianne L; Trimmis, Konstantinos P.
In: Journal of Archaeological Science, Vol. 128, 105346, 01.04.2021.

Research output: Contribution to journal › Article (Academic Journal) › peer-review

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Detecting variability: A study on the application of bayesian multilevel modelling to archaeological data: Evidence from the Neolithic Adriatic and the Bronze Age Aegean

Abstract

Bibliographical note

Keywords

Access to Document

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Research output

The rolling stones of Bronze Age Aegean: Applying machine learning to explore the use of lithic spheres from Akrotiri, Thera

An elegy of stone and light: Applying digital imaging methods for the recording of the Aegean stone kernoi in the context of Akrotiri, Thera

Cite this