Open AccessAdvancing Dose–Response Assessment Methods for Environmental Regulatory Impact Analysis: A Bayesian Belief Network Approach Applied to Inorganic Arsenic
Author(s) -
Joseph W. Zabinski,
Gonzalo G. Garcı́a-Vargas,
Marisela Rubio-Andrade,
Rebecca C. Fry,
Jacqueline MacDonald Gibson
Publication year - 2016
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/n7n0-dd42
Subject(s) - bayesian network , arsenic , bayesian probability , inorganic arsenic , environmental science , computer science , environmental chemistry , machine learning , artificial intelligence , chemistry , organic chemistry