CAN A REGIONAL CLIMATE MODEL REPRODUCE OBSERVED EXTREME TEMPERATURES
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Publication:5148622
DOI10.6092/issn.1973-2201/3988zbMath1453.86020OpenAlexW1864796141MaRDI QIDQ5148622
Peter Guttorp, Peter F. Craigmile
Publication date: 4 February 2021
Full work available at URL: https://ideas.repec.org/a/bot/rivsta/v73y2013i1p103-122.html
hierarchical Bayesian modelspatio-temporal modelingDoksum shift functiongeneralized extreme value (GEV) distributionseasonal minima
Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Climate science and climate modeling (86A08)
Cites Work
- Empirical probability plots and statistical inference for nonlinear models in the two-sample case
- A hierarchical model for the analysis of spatial rainfall extremes
- Continuous spatial process models for spatial extreme values
- Bayesian Inference from Composite Likelihoods, with an Application to Spatial Extremes
- Bayesian Spatial Modeling of Extreme Precipitation Return Levels
- Statistics for near independence in multivariate extreme values
- Plotting with confidence: Graphical comparisons of two populations
- A Conditional Approach for Multivariate Extreme Values (with Discussion)
- Space‐time modelling of trends in temperature series
- An introduction to statistical modeling of extreme values
- Statistical modeling of spatial extremes
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