Bayesian classification for dating archaeological sites via projectile points

12/01/2020
by   Carmen Armero, et al.
0

Dating is a key element for archaeologists. We propose a Bayesian approach to provide chronology to sites that have neither radiocarbon dating nor clear stratigraphy and whose only information comes from lithic arrowheads. This classifier is based on the Dirichlet-multinomial inferential process and posterior predictive distributions. The procedure is applied to predict the period of a set of undated sites located in the east of the Iberian Peninsula during the IVth and IIIrd millennium cal. BC.

READ FULL TEXT

page 7

page 10

research
05/16/2018

Deconvolution of dust mixtures by latent Dirichlet allocation in forensic science

Dust particles recovered from the soles of shoes may be indicative of th...
research
08/27/2021

A class of dependent Dirichlet processes via latent multinomial processes

We describe a procedure to introduce general dependence structures on a ...
research
04/20/2012

A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles

This paper introduces a privacy-aware Bayesian approach that combines en...
research
09/30/2022

Bayesian Neural Networks for Geothermal Resource Assessment: Prediction with Uncertainty

We consider the application of machine learning to the evaluation of geo...
research
04/04/2023

Random graphical model of microbiome interactions in related environments

The microbiome constitutes a complex microbial ecology of interacting co...
research
04/25/2019

Multivariate Functional Data Modeling with Time-varying Clustering

We consider the situation where multivariate functional data has been co...
research
09/11/2018

A Cryptographic Escrow for Treaty Declarations and Step-by-Step Verification

The verification of arms-control and disarmament agreements requires sta...

Please sign up or login with your details

Forgot password? Click here to reset