Assessing exceedance of ozone standards: a space‐time downscaler for fourth highest ozone concentrations

DOI10.1002/env.2273zbMath1525.62074OpenAlexW1831804202MaRDI QIDQ6090035

David M. Holland, Veronica J. Berrocal, Alan E. Gelfand

Publication date: 15 December 2023

Published in: Environmetrics (Search for Journal in Brave)

Full work available at URL: https://hdl.handle.net/2027.42/107366

zbMATH Keywords

Markov chain Monte Carlohierarchical modelingdata fusionchange of support\(r\)-th largest order statistic distributionnational ambient air quality standards (NAAQS)

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

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Cites Work

• Unnamed Item
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• Spatio-temporal exceedance locations and confidence regions
• A bivariate space-time downscaler under space and time misalignment
• A new test for multivariate normality
• Improving the performance of predictive process modeling for large datasets
• Continuous spatial process models for spatial extreme values
• A spatio-temporal downscaler for output from numerical models
• Extreme value analysis for evaluating ozone control strategies
• Bayesian Inference from Composite Likelihoods, with an Application to Spatial Extremes
• Gaussian Predictive Process Models for Large Spatial Data Sets
• Bayesian Spatial Modeling of Extreme Precipitation Return Levels
• High-Resolution Space–Time Ozone Modeling for Assessing Trends
• Ozone Exposure and Population Density in Harris County, Texas
• Combining Incompatible Spatial Data
• Space‐Time Data fusion Under Error in Computer Model Output: An Application to Modeling Air Quality
• Strictly Proper Scoring Rules, Prediction, and Estimation
• The structure of extremal processes
• Model Evaluation and Spatial Interpolation by Bayesian Combination of Observations with Outputs from Numerical Models
• An introduction to statistical modeling of extreme values