A bayesian naïve Bayes classifier for dating archaeological sites

  1. Carmen Armero 1
  2. Gonzalo García-Donato 2
  3. Joaquín Jiménez Puerto 1
  4. Salvador Pardo-Gordó 13
  5. Joan Bernabeu 1
  1. 1 Universitat de València
    info

    Universitat de València

    Valencia, España

    ROR https://ror.org/043nxc105

  2. 2 Universidad de Castilla-La Mancha
    info

    Universidad de Castilla-La Mancha

    Ciudad Real, España

    ROR https://ror.org/05r78ng12

  3. 3 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

Erakutsi afiliazioak +
Aktak:
Proceedings of the 35th international workshop on statistical modelling (35th. Bilbao.2020)

Argitaletxea: Universidad del País Vasco

ISBN: 978-84-1319-267-3

Argitalpen urtea: 2020

Orrialdeak: 265-268

Mota: Biltzar ekarpena

GOOGLE SCHOLAR

Laburpena

Dating is a key element for archaeologists. We propose a Bayesianapproach to provide chronology to sites that have neither radiocarbon dating norclear stratigraphy and whose only information comes from bifacial flint arrowheads. This classifier is based on the Dirichlet-multinomial inferential process andposterior predictive distributions. The procedure is applied to predict the periodof a set of undated sites located in the east of the Iberian Peninsula during theIVth and IIIrd millennium cal. BC

Erreferentzia bibliografikoak

  • Alvares, D., Armero, C., and Forte, A. (2018). What Does Objective Mean in a Dirichlet Multinomial Process? International Statistical Review, 86, 106 – 118.
  • Buck, I. C. E., Cavanagh, W. G., and Litton, C. D. (1996). Bayesian Approach to Interpreting Archaeological Data. Chiscester: Wiley.
  • Wang, Y., Hodges, J. and Tang, B. (2003). Classification of Web Documents Using a Naive Bayes Method. 15th IEEE International Conference on Tools with Artificial Intelligence, 124, 560 – 564