Hierarchical model building, fitting, and checking: a behind-the-scenes look at a Bayesian analysis of arsenic exposure pathways

DOI10.1214/09-BA401zbMath1330.62384OpenAlexW1985708027WikidataQ104697294 ScholiaQ104697294MaRDI QIDQ5962426

Catherine A. Calder, Hong-fei Liu, Peter F. Craigmile, Rajib Paul, Noel Cressie

Publication date: 12 February 2016

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1340370385

zbMATH Keywords

environmental health Bayesian learning model validation data management Arizona Markov chain Monte Carlo (MCMC) algorithm national human exposure assessment survey (NHEXAS)

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15)

Uses Software

R

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