Bayesian non-parametric models for regional prevalence estimation

DOI10.1080/02664760701835862zbMath1147.62027OpenAlexW2050069565MaRDI QIDQ3532694

Ian A. Gardner, Timothy E. Hanson, Adam J. Branscum

Publication date: 28 October 2008

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760701835862

zbMATH Keywords

predictionPolya treesdisease-prevalence estimation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02)

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\(\ell_2\)-penalized approximate likelihood inference in logit mixed models for regional prevalence estimation under covariate rank-deficiency ⋮ A Bayesian approach for the estimation of probability distributions under finite sample space

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