Inferring an Augmented Bayesian Network to Confront a Complex Quantitative Microbial Risk Assessment Model with Durability Studies: Application to Bacillus Cereus on a Courgette Purée Production Chain

Risk Analysis

Volumn 33, Issue 5, 2013, Pages 877-892

  Rigaux, Clémence ^a   Ancelet, Sophie ^a   Carlin, Frédéric ^b,c   Nguyen thé, Christophe ^b,c   Albert, Isabelle ^a  

^a Food Risk Analysis Methodologies   (France)

^b UMR A 408 INRA University of Avignon   (France)

^c UNIVERSITY OF AVIGNON   (France)

Author keywords

Bacillus cereus; Bayesian inference; Markov chain Monte Carlo (MCMC); Quantitative microbial risk assessment (QMRA); Second order models

Indexed keywords

BAYESIAN INFERENCE; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE CARLO ALGORITHMS; QUANTITATIVE MICROBIAL RISK ASSESSMENT; QUANTITATIVE MICROBIAL RISK ASSESSMENT (QMRA); SAFETY RISK ASSESSMENTS; SECOND-ORDER MODELS; TIME-TEMPERATURE PROFILE;

BACILLUS CEREUS; BAYESIAN NETWORKS; COMPUTER SIMULATION; INFERENCE ENGINES; MONTE CARLO METHODS; PASTEURIZATION;

STOCHASTIC MODELS;

ALGORITHM; BACTERIUM; BAYESIAN ANALYSIS; FOOD SAFETY; GENETIC VARIATION; MARKOV CHAIN; MICROBIAL ACTIVITY; MONTE CARLO ANALYSIS; QUANTITATIVE ANALYSIS; RISK ASSESSMENT; UNCERTAINTY ANALYSIS;

ALGORITHM; ARTICLE; BACILLUS CEREUS; BAYES THEOREM; FOOD CONTROL; GENETICS; GROWTH, DEVELOPMENT AND AGING; MONTE CARLO METHOD; RISK ASSESSMENT; THEORETICAL MODEL;

ALGORITHMS; BACILLUS CEREUS; BAYES THEOREM; FOOD MICROBIOLOGY; MODELS, THEORETICAL; MONTE CARLO METHOD; RISK ASSESSMENT;

BACILLUS CEREUS;

EID: 84877600243     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2012.01888.x     Document Type: Article

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