Spatial-temporal association between fine particulate matter and daily mortality

DOI10.1016/j.csda.2008.05.018zbMath1453.62071OpenAlexW2078687654WikidataQ37200052 ScholiaQ37200052MaRDI QIDQ961737

Jungsoon Choi, Montserrat Fuentes, Brian J. Reich

Publication date: 1 April 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.05.018

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (7)

Spatial variable selection methods for investigating acute health effects of fine particulate matter components ⋮ Latent multivariate log-gamma models for high-dimensional multitype responses with application to daily fine particulate matter and mortality counts ⋮ Bayesian variable selection for Poisson regression with underreported responses ⋮ Bayesian 2-stage space-time mixture modeling with spatial misalignment of the exposure in small area health data ⋮ Editorial. Spatial statistics: methods, models \& computation ⋮ Cuts in Bayesian graphical models ⋮ Using a latent variable model with non-constant factor loadings to examine PM_2.5 constituents related to secondary inorganic aerosols

Uses Software

• spBayes

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