Risk assessment for toxicity experiments with discrete and continuous outcomes: a Bayesian nonparametric approach

DOI10.1007/S13253-017-0293-6zbMath1383.62310OpenAlexW2735044957MaRDI QIDQ1695275

Athanasios Kottas, Kassandra Fronczyk

Publication date: 7 February 2018

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-017-0293-6

zbMATH Keywords

Gaussian processdependent Dirichlet processdose-response relationshipdevelopmental toxicology datanonparametric mixture modeling

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15)

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