Detection of outliers with a Bayesian hierarchical model: application to the single-grain luminescence dating method.
Language
en
Article de revue
This item was published in
Electronic Journal of Applied Statistical Analysis. 2021
ESE - Salento University Publishing
English Abstract
The event model was proposed by Lanos and Philippe (2018) to combine measurements in the context of archaeological chronological dating. We extend this model to luminescence dating and define a new strategy to detect ...Read more >
The event model was proposed by Lanos and Philippe (2018) to combine measurements in the context of archaeological chronological dating. We extend this model to luminescence dating and define a new strategy to detect outliers from the hyperparameters of the event model. This procedure is applied to the combination of Gaussian measurements and luminescence age estimation. We illustrate through simulations that it is preferable, in terms of accuracy and precision, to exclude detected outliers rather than use the robust estimation method (e.g. the event model).Read less <
English Keywords
application to luminescence dating method
event hierarchical model
outliers
Origin
Hal importedCollections