Add to ORKGRisk assessment of pesticides can be a statistically difficult problem because pesticides occur only occasionally, but they may occur on multiple components in the diet. A Bayesian statistical model is presented which incorporates multivariate modelling of food consumption and modelling of pesticide measurements which are for a large part below a measurement threshold. It is shown that Bayesian modelling is feasible for a limited number of food components, and that in a data-rich situation the model compares well with an empirical Monte Carlo modellin
nonparametric model for clustering individual co-exposure to pesticides found in the French diet
Exposure models are used to calculate the amount of potential harmful chemicals ingested by a human ...
The use of Bayesian networks (BN) for environmental risk assessment has increased in recent years as...
This paper presents some common types of data and models in pesticide exposure assessment. The probl...
This work introduces a specific application of Bayesian nonparametric statistics to the food risk an...
In this report the discussion on the use of probabilistic modeling in relation to pesticide use in f...
Conventional environmental risk assessment of chemicals is based on a calculated risk quotient, repr...
A novel approach to the quantitative assessment of food-borne risks is proposed. The basic idea is t...
The Bayesian model was built to estimate the acute as well as the chronic intake of chemical contami...
A probabilistic model for dietary exposure to pesticides was validated. For this, we evaluated the a...
A recently published multivariate Extreme Value Theory (EVT) model [Heffernan, J.E., Tawn, J.A., 200...
This paper presents a framework for integrated probabilistic risk assessment of chemicals in the die...
This introduction to the journal's supplement on probabilistic risk assessment of single and multipl...
This paper presents a framework for integrated probabilistic risk assessment of chemicals in the die...
An approach for estimating human exposure to pesticides via consumption of six important food crops ...
nonparametric model for clustering individual co-exposure to pesticides found in the French diet
Exposure models are used to calculate the amount of potential harmful chemicals ingested by a human ...
The use of Bayesian networks (BN) for environmental risk assessment has increased in recent years as...
This paper presents some common types of data and models in pesticide exposure assessment. The probl...
This work introduces a specific application of Bayesian nonparametric statistics to the food risk an...
In this report the discussion on the use of probabilistic modeling in relation to pesticide use in f...
Conventional environmental risk assessment of chemicals is based on a calculated risk quotient, repr...
A novel approach to the quantitative assessment of food-borne risks is proposed. The basic idea is t...
The Bayesian model was built to estimate the acute as well as the chronic intake of chemical contami...
A probabilistic model for dietary exposure to pesticides was validated. For this, we evaluated the a...
A recently published multivariate Extreme Value Theory (EVT) model [Heffernan, J.E., Tawn, J.A., 200...
This paper presents a framework for integrated probabilistic risk assessment of chemicals in the die...
This introduction to the journal's supplement on probabilistic risk assessment of single and multipl...
This paper presents a framework for integrated probabilistic risk assessment of chemicals in the die...
An approach for estimating human exposure to pesticides via consumption of six important food crops ...
nonparametric model for clustering individual co-exposure to pesticides found in the French diet
Exposure models are used to calculate the amount of potential harmful chemicals ingested by a human ...
The use of Bayesian networks (BN) for environmental risk assessment has increased in recent years as...