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• W2046989435 endingPage "5781" @default.
• W2046989435 startingPage "5774" @default.
• W2046989435 abstract "A direct derivation for the first-passage time statistics of processes driven by white Poisson noise is given. This derivation illustrates the difficulty of boundary conditions for a Markovian process driven by a non-Gaussian white noise. In order to gain information on the first-passage time distribution of non-Markovian processes, we carry out numerical simulations for a free process driven by colored Poisson noise with rectangular and exponential pulses. We study the case of stationary and nonstationary noise. Gaussian limits, given by a non-Markovian noise and the Ornstein-Uhlenbeck noise, are also analyzed." @default.
• W2046989435 created "2016-06-24" @default.
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• W2046989435 date "1987-12-01" @default.
• W2046989435 modified "2023-10-16" @default.
• W2046989435 title "First-passage time statistics: Processes driven by Poisson noise" @default.
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• W2046989435 doi "https://doi.org/10.1103/physreva.36.5774" @default.
• W2046989435 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/9898867" @default.
• W2046989435 hasPublicationYear "1987" @default.
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