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Digital Methods and the Evolution of the Epistemology of Social Sciences Read chapter Read first chapter

2021 | OriginalPaper | Chapter

A Bayesian Mixture Model for Ecotoxicological Risk Assessment

Authors : Sonia Migliorati, Gianna Serafina Monti

Published in: Data Science and Social Research II

Publisher: Springer International Publishing

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Abstract

In ecotoxicological risk assessment, the estimation of a Species Sensitivity Distribution (SSD) is a routine method used to derive hazardous levels of concentrations for chemical substances. Here, we propose a Bayesian hierarchical approach leading to the definition of a new SSD. Our approach allows to use all information available at chemical-class-species levels to make inferential decisions. We estimate parameters via computer-intensive methods based on Markov Chain Monte Carlo methods, and we propose a way to derive the estimates of concern levels of toxicants that could be easily adopted in ecotoxicological risk management.

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Metadata
Title
A Bayesian Mixture Model for Ecotoxicological Risk Assessment
Authors
Sonia Migliorati
Gianna Serafina Monti
Copyright Year
2021
Book
Data Science and Social Research II

Print ISBN: 978-3-030-51221-7

Electronic ISBN: 978-3-030-51222-4

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-51222-4_22

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