Detection of outliers with a Bayesian hierarchical model: application to the single-grain luminescence dating method.
Langue
en
Article de revue
Ce document a été publié dans
Electronic Journal of Applied Statistical Analysis. 2021
ESE - Salento University Publishing
Résumé en anglais
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 ...Lire la suite >
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).< Réduire
Mots clés en anglais
application to luminescence dating method
event hierarchical model
outliers
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