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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Publication:6625856
DOI10.1002/env.2448zbMATH Open1545.62919MaRDI QIDQ6625856
Christopher S. McMahan, Brook T. Russell, Dewei Wang
Publication date: 28 October 2024
Published in: Environmetrics (Search for Journal in Brave)
adaptive Lassolocal linear quantile regressionfine particulate mattermeteorological drivers of \(PM_{2.5}\)
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Related Items (3)
Estimation and inference in spatially varying coefficient models ⋮ Spatial cluster detection of regression coefficients in a mixed-effects model ⋮ Identifying meteorological drivers of \(PM_{2.5}\) levels via a Bayesian spatial quantile regression
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