A Bayesian hierarchical model framework to quantify uncertainty of tropical cyclone precipitation forecasts

DOI10.1214/22-AOAS1703arXiv2210.16683OpenAlexW4386503537MaRDI QIDQ6179105

David M. Higdon, Stephen J. Walsh, Stephanie Zick, Marco A. R. Ferreira

Publication date: 16 January 2024

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

Full work available at URL: https://arxiv.org/abs/2210.16683

zbMATH Keywords

spatial statisticsBayesian statisticsmeteorologyuncertainty quantificationmassive datasetshurricane forecasts

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

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• Strictly Proper Scoring Rules, Prediction, and Estimation
• Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics
• Calibrated Probabilistic Mesoscale Weather Field Forecasting

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