Spatial distributed lag data fusion for estimating ambient air pollution

DOI10.1214/20-AOAS1399zbMath1475.62280OpenAlexW3136961907MaRDI QIDQ2233175

Michelle L. Bell, Marie Lynn Miranda, Claire E. Osgood, Joshua L. Warren, Joshua L. Tootoo

Publication date: 14 October 2021

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/20-aoas1399

zbMATH Keywords

air pollutiondownscalingvarying coefficientsspatial distributed lags

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12)

Related Items (1)

DLfuse

Uses Software

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• spBayes
• BayesDA

Cites Work

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• A bivariate space-time downscaler under space and time misalignment
• Bayesian computation and stochastic systems. With comments and reply.
• A spatio-temporal downscaler for output from numerical models
• A spectral method for spatial downscaling
• Gaussian Predictive Process Models for Large Spatial Data Sets
• Space‐Time Data fusion Under Error in Computer Model Output: An Application to Modeling Air Quality
• Model Evaluation and Spatial Interpolation by Bayesian Combination of Observations with Outputs from Numerical Models
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.

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