Bayesian dependent functional mixture estimation for area and time-indexed data: an application for the prediction of monthly county employment

DOI10.1214/21-ba1274OpenAlexW3174361184MaRDI QIDQ6121779

Matthew R. Williams, Terrance D. Savitsky

Publication date: 27 February 2024

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

Full work available at URL: https://projecteuclid.org/journals/bayesian-analysis/volume-17/issue-3/Bayesian-Dependent-Functional-Mixture-Estimation-for-Area-and-Time-Indexed/10.1214/21-BA1274.full

zbMATH Keywords

Dirichlet processsurvey samplingnonparametric statisticsBayesian hierarchical modelslatent modelsGaussian Markov random fieldspatio-temporal modelingfunctional data estimation

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Computational methods for problems pertaining to statistics (62-08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Bayesian inference (62F15)

Cites Work

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• Gaussian Markov Random Fields
• Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models
• Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota
• Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing

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