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A numerical method for computing interval distributions for an inhomogeneous Poisson point process modified by random dead times
The inhomogeneous Poisson point process is a common model for time series of discrete, stochastic events. When an event from a point process is detected, it may trigger a random dead time in the detector, during which subsequent events will fail to be detected. It can be difficult or impossible to o...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Berlin Heidelberg
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036215/ https://www.ncbi.nlm.nih.gov/pubmed/33742314 http://dx.doi.org/10.1007/s00422-021-00868-8 |