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On the probability of exceeding a given river flow threshold
Authors:Mario Lefebvre  Fatima Bensalma
Affiliation:1. Département de mathématiques et de génie industriel, école Polytechnique, Montréal, QC, Canadamario.lefebvre@polymtl.ca;3. Département de mathématiques et de génie industriel, école Polytechnique, Montréal, QC, Canada
Abstract:ABSTRACT

To obtain estimates of the probability that a river flow will exceed a given threshold at time t + 1, given the flow value at time t, two stochastic models are considered: a filtered Poisson process and a diffusion process with jumps. Estimates derived from linear regression are also considered. The model parameters are assumed to depend on the flow value. An application to the Delaware River is presented.
Editor D. Koutsoyiannis; Associate editor S. Grimaldi
Keywords:filtered Poisson process  diffusion process with jumps  linear regression  tail probability
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