Risk assessment of river water quality using long-memory processes subject to divergence or Wasserstein uncertainty

River water quality often follows a long-memory stochastic process with power-type autocorrelation decay, which can only be reproduced using appropriate mathematical models. The selection of a stochastic process model, particularly its memory structure, is often subject to misspecifications owing to...

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Bibliographic Details
Published in:Stochastic environmental research and risk assessment Vol. 38; no. 8; pp. 3007 - 3030
Main Authors: Yoshioka, Hidekazu, Yoshioka, Yumi
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2024
Springer Nature B.V
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ISSN:1436-3240, 1436-3259
Online Access:Get full text
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