A new geographically weighted penalized compositional regression model with pairwise fusion penalty is proposed to handle spatial heterogeneity and compositional covariates, demonstrated on U.S. income and COPD data.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Regional atmospheric CO2 growth rates are dominated by natural carbon-cycle processes that mask anthropogenic emission signals, with COVID-19 reductions not consistently detectable in the data.
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Linking COPD Prevalence with Income Distribution: A Spatial Heterogeneous Compositional Regression via Geographically Weighted Penalized Approach
A new geographically weighted penalized compositional regression model with pairwise fusion penalty is proposed to handle spatial heterogeneity and compositional covariates, demonstrated on U.S. income and COPD data.
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Investigation of regional variations in CO$_2$ growth rates : Integrating Emission Inventories and Atmospheric Observations
Regional atmospheric CO2 growth rates are dominated by natural carbon-cycle processes that mask anthropogenic emission signals, with COVID-19 reductions not consistently detectable in the data.