A sparse areal mixed model for multivariate outcomes, with an application to zero-inflated census data

DOI10.1007/978-3-030-11431-2_3zbMATH Open1434.62098OpenAlexW2954584480MaRDI QIDQ2182510

Yanyan Li

Publication date: 25 May 2020

Full work available at URL: https://doi.org/10.1007/978-3-030-11431-2_3

zbMATH Keywords

Markov chain Monte Carlodimension reductionBayesian hierarchical modelmixed modelzero-inflated datamultivariate spatial datahurdle modelmultivariate outcomeszero-inflated census data

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from spatial processes (62M30) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05)

Related Items (1)

Zero-inflated modeling. II: Zero-inflated models for complex data structures

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