Anne Philippe

Statistical Tools & R packages

Applied Bayesian statistics in Archaeology

Anne Philippe

  • ArchaeoPhases : Bayesian Modeling of Archaeological Chronologies
    The package ArchaeoPhases provides a list of functions for the statistical analysis and the post-processing of the Markov Chains simulated for instance by Bcal, ChronModel and Oxcal :
    -- Building a chronology by intervals [phasing]
    -- Testing the presence of hiatus
    -- Estimation of a transition between two phases.
    -- Tempo plot
    ArchaeoPhases is a CRAN Package with Shiny application here
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    • Anne Philippe

  • BayLum :Chronological Bayesian Models Integrating Optically Stimulated Luminescence and Radiocarbon Age Dating.
    Bayesian analysis of luminescence data and C-14 age estimates. Bayesian models are based on the following publications: Combes, B. & Philippe, A. (2017) and Combes et al (2015) . This includes, among others, data import, export, application of age models and palaeodose model. See more
    Other papers on this topic :
  • Philippe, Anne, Guillaume Guérin, and Sebastian Kreutzer. 2019. “BayLum - an R Package for Bayesian Analysis of Osl Ages: An Introduction.” Quaternary Geochronology 49: 16-24,. doi.org/10.1016/j.quageo.2018.05.009 doi.org/10.1016/j.quageo.2018.05.009
  • Guérin, G, C. Lahaye, M. Heydari, M. Autzen, J.-P. Buylaert, P. Guibert, et al. 2020. “Modelling systematic and random errors in OSL dating using the R BayLum package.” https://doi.org/10.5194/gchron-2020-40.

    • Anne Philippe

  • ArchaeoChron : Bayesian Modeling of Archaeological Chronologies
    The package provides a list of functions for the Bayesian modeling of archaeological chronologies. The Bayesian models are implemented in JAGS (JAGS stands for Just Another Gibbs Sampler. It is a program for the analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation. The inputs are measurements with their associated standard deviations and the study period. The output is the MCMC sample of the posterior distribution of the event date with or without radiocarbon calibration.
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    • Anne Philippe

  • Contribution to Luminescence : : Comprehensive Luminescence Dating Data Analysis
    A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.

    • Anne Philippe

  • ChronoModel 1.5
    Chronological Modelling of Archaeological Data using Bayesian Statistics The ChronoModel Application is intended to provide tools for constructing chronologies in archaeology in combining Events, Phases and temporal constraints.
    Bayesian models implemented in ChronoModel are based on the following publications:
  • Lanos, P., and A. Philippe. 2018. “Event Date Model: A Robust Bayesian Tool for Chronology Building.” Communications for Statistical Applications and Methods 25 (2): 131–57. https://doi.org/10.29220/CSAM.2018.25.2.131.
  • Lanos, Philippe, and Anne Philippe. 2017. “Hierarchical Bayesian Modeling for Combining Dates in Archaeological Context.” Journal de La SFdS 158: 72–88. see also
  • Philippe, Anne, Philippe Lanos, and Marie-Anne Vibet. De la medida a la modelizacion de una secuencia de fechas. Un ejercicio de metodologia matematica. 2021. In “Metodos Cronometricos Para La Datacion de Sucesos Historicos.”, edited by Juan A. Barcelo y Berta Morell, 371–80. Dextra editorial.
  • Vibet, Marie-Anne, Anne Philippe, and Philippe Lanos.Modelizacion cronologica con el programa informatico ChronoModel. 2021. In “Metodos Cronometricos Para La Datacion de Sucesos Historicos.”, edited by Juan A. Barcelo y Berta Morell, 383–98. Dextra editorial.