Modeling and forecasting river flows by means of filtered Poisson processes

DOI10.1016/j.apm.2014.05.027zbMath1428.86003OpenAlexW2066691563MaRDI QIDQ1634985

Fatima Bensalma, Mario Lefebvre

Publication date: 18 December 2018

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2014.05.027

zbMATH Keywords

estimationconditional expectationforecastingautoregressive modelresponse function

Mathematics Subject Classification ID

Hydrology, hydrography, oceanography (86A05) Applications of renewal theory (reliability, demand theory, etc.) (60K10) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

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Cites Work

• Unnamed Item
• Using filtered Poisson processes to model a river flow
• Conceptually-based shot noise modeling of streamflows at short time interval
• On the shot-noise streamflow model and its applications
• A theoretical note on the distribution of a filtered compound doubly stochastic Poisson process
• A filtered renewal process as a model for a river flow

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