Towards quantifying the uncertainty in in silico predictions using Bayesian learning-Reference-Cited by-同舟云学术

Towards quantifying the uncertainty in in silico predictions using Bayesian learning

Published:2022-08 Issue: Volume:23 Page:100228
ISSN:2468-1113
Container-title:Computational Toxicology
language:en
Short-container-title:Computational Toxicology

Author:

Allen Timothy E.H.,Middleton Alistair M.,Goodman Jonathan M.,Russell Paul J.,Kukic Predrag,Gutsell Steve

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Computer Science Applications,Toxicology

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5. The Importance of Mathematical Modelling in Chemical Risk Assessment and the Associated Quantification of Uncertainty;Gosling;Comput. Toxicol.,2018

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