Changing ceramic traditions at Agila ancestral village, Hood Bay, Papua New Guinea

Skelly, Robert; David, Bruno; Leavesley, Matthew; Petchey, Fiona; Guise, Alu; Tsang, Roxanne; Mialanes, Jerome; Richards, Thomas

doi:10.1080/03122417.2018.1515146

Cited by 6 publications

(1 citation statement)

References 22 publications

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“…Similar methods have been used to examine ceramic traditions in Europe (Krol, Dee, and Nieuwhof 2020), Bolivia (Erik J. Marsh et al 2019), Guatemala (Arroyo et al 2020), and Papua New Guinea (Skelly et al 2018). The combination of chronological modelling and ceramic data has been used to examine the dispersal and spread of ceramic cultures (e.g., Méhault 2017;Binder et al 2018).…”

Section: Artifact Analysismentioning

confidence: 99%

The Bayesian Inferential Paradigm in Archaeology

Otárola‐Castillo¹,

Torquato²,

Buck³

2021

Preprint

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Archaeologists often use data and quantitative statistical methods to evaluate their ideas. Although there are various statistical frameworks for decision-making in archaeology and science in general, in this chapter, we provide a simple explanation of Bayesian statistics. To contextualize the Bayesian statistical framework, we briefly compare it to the more widespread null hypothesis significance testing (NHST) approach. We also provide a simple example to illustrate how archaeologists use data and the Bayesian framework to compare hypotheses and evaluate their uncertainty. We then review how archaeologists have applied Bayesian statistics to solve research problems related to radiocarbon dating and chronology, lithic, ceramic, zooarchaeological, bioarchaeological, and spatial analyses. Because recent work has reviewed Bayesian applications in archaeology from the 1990s up to 2017, this work considers the relevant literature published since 2017.

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