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A generalised semiparametric Bayesian Fay-Herriot model for small area estimation shrinking both means and variances

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Publication:1699684
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DOI10.1214/16-BA1019zbMath1384.62271MaRDI QIDQ1699684

Silvia Polettini

Publication date: 23 February 2018

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

Full work available at URL: https://projecteuclid.org/euclid.ba/1473276257


zbMATH Keywords

Dirichlet process priorhierarchical modelssmall areaFay-Herriotmixed effects regression modelssmoothing of sampling variances


Mathematics Subject Classification ID

Nonparametric estimation (62G05) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05)


Related Items (4)

Small area estimation with mixed models: a review ⋮ Small area estimation under area-level generalized linear mixed models ⋮ A new robust Bayesian small area estimation via ‐stable model for estimating the proportion of athletic students in California ⋮ A Spatial Variance‐Smoothing Area Level Model for Small Area Estimation of Demographic Rates






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