Identifying meteorological drivers of \(PM_{2.5}\) levels via a Bayesian spatial quantile regression

DOI10.1002/env.2669zbMATH Open1545.62933MaRDI QIDQ6626393

Brook T. Russell, Stella W. Self, Christopher S. McMahan

Publication date: 28 October 2024

Published in: Environmetrics (Search for Journal in Brave)

zbMATH Keywords

random effectspenalized splinesconditional autoregressive modelsspatiotemporal modeling

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

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• Spatially modeling the effects of meteorological drivers of \(PM_{2.5}\) in the eastern United States via a local linear penalized quantile regression estimator

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