Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixture Models

DOI10.1080/01621459.2020.1764363zbMath1457.62370OpenAlexW3023609536MaRDI QIDQ5857134

Hui Huang, Decai Liang, Xiaohui Chang, Haozhe Zhang

Publication date: 30 March 2021

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2020.1764363

zbMATH Keywords

model-based clusteringMarkov random fieldenvironmental policieslatent emission process

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to environmental and related topics (62P12)

Related Items

Penalized model-based clustering of complex functional data ⋮ Estimation of spatial-functional based-line logit model for multivariate longitudinal data ⋮ From multivariate to functional data analysis: fundamentals, recent developments, and emerging areas

Uses Software

• funHDDC

Cites Work

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