2019
DOI: 10.1016/j.ecoenv.2019.04.080
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A Bayesian framework for estimating parameters of a generic toxicokinetic model for the bioaccumulation of organic chemicals by benthic invertebrates: Proof of concept with PCB153 and two freshwater species

Abstract: HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des labora… Show more

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Cited by 22 publications
(30 citation statements)
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“…For simplicity reasons, in MOSAIC bioacc , the choice of priors is hidden to the user with no possibility to change them. To keep priors the most generic as possible, they were assumed following a non-informative (−5, 5) log10-uniform distribution for all uptake and elimination rate constants, and a non-informative (0.001, 0.001) Gamma distribution for all standard deviations, as usually done in the field of bioaccumulation studies (Lambert et al, 2005; Ratier et al, 2019; Richards and Chaloupka, 2009).…”
Section: Methodsmentioning
confidence: 99%
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“…For simplicity reasons, in MOSAIC bioacc , the choice of priors is hidden to the user with no possibility to change them. To keep priors the most generic as possible, they were assumed following a non-informative (−5, 5) log10-uniform distribution for all uptake and elimination rate constants, and a non-informative (0.001, 0.001) Gamma distribution for all standard deviations, as usually done in the field of bioaccumulation studies (Lambert et al, 2005; Ratier et al, 2019; Richards and Chaloupka, 2009).…”
Section: Methodsmentioning
confidence: 99%
“…Thanks to rjags, model parameters are retrieved as a joint posterior distribution from the likelihood of the observed data combined with prior distributions on parameters. All details on this approach can be found in the original research paper (Ratier et al, 2019) but also in many other papers in the field of ecotoxicology (Billoir et al, 2011; Ockleford et al, 2018).…”
Section: Methodsmentioning
confidence: 99%
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