Bayesian hierarchical model for variations in earthquake peak ground acceleration within small-aperture arrays

DOI10.1002/ENV.2497zbMATH Open1545.62907MaRDI QIDQ6625908

Birgir Hrafnkelsson, Sigurjón Jónsson, Benedikt Halldorsson, Sahar Rahpeyma

Publication date: 28 October 2024

Published in: Environmetrics (Search for Journal in Brave)

zbMATH Keywords

Bayesian hierarchical modelposterior density functionpeak ground accelerationground motion variabilitiesstrong-motion array

Mathematics Subject Classification ID

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

Cites Work

• Weak convergence and optimal scaling of random walk Metropolis algorithms
• Inference from iterative simulation using multiple sequences
• Penalising model component complexity: a principled, practical approach to constructing priors
• Bayesian data analysis.
• Classes of Nonseparable, Spatio-Temporal Stationary Covariance Functions
• Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics
• Bayesian prediction of monthly precipitation on a fine grid using covariates based on a regional meteorological model

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