A Bayesian spatiotemporal model to estimate long‐term exposure to outdoor air pollution at coarser administrative geographies in England and Wales
Author
Abstract
Suggested Citation
DOI: 10.1111/rssa.12299
Download full text from publisher
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Mariaelena Bottazzi Schenone & Elena Grimaccia & Maurizio Vichi, 2024. "Structural equation models for simultaneous modeling of air pollutants," Environmetrics, John Wiley & Sons, Ltd., vol. 35(3), May.
- Sabyasachi Mukhopadhyay & Joseph O. Ogutu & Gundula Bartzke & Holly T. Dublin & Hans-Peter Piepho, 2019. "Modelling Spatio-Temporal Variation in Sparse Rainfall Data Using a Hierarchical Bayesian Regression Model," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(2), pages 369-393, June.
- Jiwei Liu & Yong Sun & Qun Li, 2021. "High-Resolution PM 2.5 Estimation Based on the Distributed Perception Deep Neural Network Model," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jorssa:v:181:y:2018:i:2:p:465-486. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.