Modeling and predicting spatio-temporal dynamics of PM_2.5 concentrations through time-evolving covariance models

Abstract:
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SEEK ID: https://publications.h-its.org/publications/1702

Filename: SS-2022-0064_na.pdf 

Format: PDF document

Size: 3.71 MB

SEEK ID: https://publications.h-its.org/publications/1702

DOI: 10.5705/ss.202022.0064

Research Groups: Computational Statistics

Publication type: Journal

Journal: Statistica Sinica

Publisher: Statistica Sinica (Institute of Statistical Science)

Citation: Statistica Sinica, published online

Date Published: 2025

URL:

Registered Mode: manually

Authors: Ghulam A. Qadir, Ying Sun

Citation
Qadir, G. A., & Sun, Y. (2025). Modeling and Predicting Spatio-Temporal Dynamics of PM$_{2.5}$ Concentrations Through Time-Evolving Covariance Models. In Statistica Sinica. Statistica Sinica (Institute of Statistical Science). https://doi.org/10.5705/ss.202022.0064
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Created: 19th Sep 2023 at 11:51

Last updated: 8th Mar 2024 at 13:37

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