A loss function approach to identifying environmental exceedances

DOI10.1007/s10687-006-7964-yzbMath1115.62117OpenAlexW2022000828MaRDI QIDQ881403

Noel Cressie, Youlan Rao, Peter F. Craigmile, Thomas J. Santner

Publication date: 29 May 2007

Published in: Extremes (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10687-006-7964-y

zbMATH Keywords

Markov chain Monte CarlogeostatisticsBayesian hierarchical modelsBayes predictorintegrated weighted quantile squared error loss

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Geostatistics (86A32)

Related Items

Spatio-temporal exceedance locations and confidence regions, Approximating the conditional density given large observed values via a multivariate extremes framework, with application to environmental data, Credible regions for exceedance sets of geostatistical data, Estimating high-resolution red sea surface temperature hotspots, using a low-rank semiparametric spatial model

Uses Software

• ismev

Cites Work

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