The heterogeneous effect of socioeconomic driving factors on PM2.5 in China's 30 province-level administrative regions: Evidence from Bayesian hierarchical spatial quantile regression.
Sign Up to like & getrecommendations! Published in 2020 at "Environmental pollution"
DOI: 10.1016/j.envpol.2020.114690
Abstract: China has become one of the most serious PM2.5-dominated air pollution country. Despite a great deal of research has focused on analysing the influence of social and economic driving forces of PM2.5 pollution in China,… read more here.
Keywords: hierarchical spatial; quantile regression; regression; spatial quantile ... See more keywords
SMOOTH DENSITY SPATIAL QUANTILE REGRESSION.
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DOI: 10.5705/ss.202019.0002
Abstract: We derive the properties and demonstrate the desirability of a model-based method for estimating the spatially-varying effects of covariates on the quantile function. By modeling the quantile function as a combination of I-spline basis functions… read more here.
Keywords: density; smooth density; quantile regression; density spatial ... See more keywords