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