A varying coefficients model for estimating finite population totals: a hierarchical Bayesian approach

DOI10.1007/s13253-016-0250-9zbMath1347.62254OpenAlexW2343539362MaRDI QIDQ321468

José E. Rodríguez, Luis Fernando Contreras-Cruz, Eric P. Smith, Ciro Velasco-Cruz

Publication date: 13 October 2016

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

Full work available at URL: https://doi.org/10.1007/s13253-016-0250-9

zbMATH Keywords

auxiliary informationBayesian hierarchical modelnonparametric regression modelvarying coefficient modelpopulation total

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to environmental and related topics (62P12)

Uses Software

• CODA
• SemiPar
• ElemStatLearn

Cites Work

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• Semiparametric Regression
• Spatial Modeling With Spatially Varying Coefficient Processes
• Large-Sample Posterior Distributions for Finite Populations
• Bayesian Factor Analysis for Spatially Correlated Data, With Application to Summarizing Area-Level Material Deprivation From Census Data
• To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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