Some explorations into Bayesian modelling of risks due to pesticide intake from food

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    This paper presents some common types of data and models in pesticide exposure assessment. The problems of traditional methods are discussed in connection with possibilities to address them in a Bayesian framework. We present simple Bayesian models for consumption of food and for residue monitoring data
    Original languageEnglish
    Title of host publicationBayesian statistics and quality modelling in the agro-food production chain
    EditorsM.A.J.S. van Boekel, A. Stein, A.H.C. van Bruggen
    Place of PublicationDordrecht
    PublisherKluwer
    Pages145-162
    ISBN (Print)9781402019166
    Publication statusPublished - 2004

    Keywords

    • bayesian theory
    • monte carlo method
    • mathematical models
    • food safety
    • pesticide residues
    • risk assessment

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  • Cite this

    van der Voet, H., & Paulo, M. J. (2004). Some explorations into Bayesian modelling of risks due to pesticide intake from food. In M. A. J. S. van Boekel, A. Stein, & A. H. C. van Bruggen (Eds.), Bayesian statistics and quality modelling in the agro-food production chain (pp. 145-162). Dordrecht: Kluwer.