A Bayesian spatial hierarchical model for extreme precipitation in Great Britain-Reference-Cited by-同舟云学术

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A Bayesian spatial hierarchical model for extreme precipitation in Great Britain

Published:2018-09-21 Issue:1 Volume:30 Page:e2529
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Sharkey Paul¹^ORCID,Winter Hugo C.²^ORCID

Affiliation:

1. JBA Consulting; Skipton U.K.

2. EDF Energy R&D UK Centre; Croydon U.K.

Funder

Électricité de France

Engineering and Physical Sciences Research Council

Joint UK BEIS/Defra Met Office Hadley Centre Climate Programme

Publisher

Wiley

Subject

Ecological Modelling,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/env.2529/fullpdf

Reference41 articles.

1. Spatiotemporal hierarchical modeling of extreme precipitation in Western Australia using anisotropic Gaussian random fields;Apputhurai;Environmental and Ecological Statistics,2013

2. A Bayesian spatio-temporal model for precipitation extremes-STOR team contribution to the EVA2017 challenge;Barlow;Extremes,2018

3. Inference for clustered data using the independence loglikelihood;Chandler;Biometrika,2007

4. An Introduction to Statistical Modeling of Extreme Values

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