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

H. van der Voet; M.J. Paulo

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

H. van der Voet, M.J. Paulo

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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 language	English
Title of host publication	Bayesian statistics and quality modelling in the agro-food production chain
Editors	M.A.J.S. van Boekel, A. Stein, A.H.C. van Bruggen
Place of Publication	Dordrecht
Publisher	Kluwer
Pages	145-162
ISBN (Print)	9781402019166
Publication status	Published - 2004

Keywords

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

Access to Document

https://edepot.wur.nl/35585

Cite this

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title = "Some explorations into Bayesian modelling of risks due to pesticide intake from food",

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",

keywords = "bayesiaanse theorie, monte carlo-methode, wiskundige modellen, voedselveiligheid, pesticidenresiduen, risicoschatting, bayesian theory, monte carlo method, mathematical models, food safety, pesticide residues, risk assessment",

author = "{van der Voet}, H. and M.J. Paulo",

year = "2004",

language = "English",

isbn = "9781402019166",

pages = "145--162",

editor = "{van Boekel}, M.A.J.S. and A. Stein and {van Bruggen}, A.H.C.",

booktitle = "Bayesian statistics and quality modelling in the agro-food production chain",

publisher = "Kluwer",

address = "Netherlands",

}

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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Some explorations into Bayesian modelling of risks due to pesticide intake from food

AU - van der Voet, H.

AU - Paulo, M.J.

PY - 2004

Y1 - 2004

N2 - 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

AB - 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

KW - bayesiaanse theorie

KW - monte carlo-methode

KW - wiskundige modellen

KW - voedselveiligheid

KW - pesticidenresiduen

KW - risicoschatting

KW - bayesian theory

KW - monte carlo method

KW - mathematical models

KW - food safety

KW - pesticide residues

KW - risk assessment

M3 - Chapter

SN - 9781402019166

SP - 145

EP - 162

BT - Bayesian statistics and quality modelling in the agro-food production chain

A2 - van Boekel, M.A.J.S.

A2 - Stein, A.

A2 - van Bruggen, A.H.C.

PB - Kluwer

CY - Dordrecht

ER -