Drug risk assessment with determining the number of sub-populations under finite mixture normal models
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Publication:956969
DOI10.1016/j.csda.2003.09.006zbMath1429.62615OpenAlexW2081514374MaRDI QIDQ956969
Jian Tao, Sik-Yum Lee, Ning-Zhong Shi
Publication date: 26 November 2008
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2003.09.006
EM algorithmmodel selectionBayes factorSchwarz criterionBICrisk assessmentdose-responsemixture normal models
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)
Related Items (2)
Bayesian analysis of the patterns of biological susceptibility via reversible jump MCMC sampling ⋮ Editorial: Advances in mixture models
Uses Software
Cites Work
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