A max-stable process model for rainfall extremes at different accumulation durations

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A max-stable process model for rainfall extremes at different accumulation durations

A common existing approach to modeling rainfall extremes employs a spatial Bayesian hierarchical model, where latent Gaussian processes are specified on distributional parameters in order to pool spatial information. The data are taken to be conditionally independent given the latent processes, and...

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Bibliographic Details
Main Authors:	Stephenson, A., Lehmann, E., Phatak, Aloke
Format:	Journal Article
Published:	2016
Online Access:	http://hdl.handle.net/20.500.11937/19330

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