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Nonlocal Response in Electrolytic Cells: A Generalized Poisson-Nernst-Planck Model with Memory Effects. [PDF]
da Rocha GG +6 more
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Neuromorphic computing paradigms enhance robustness through spiking neural networks. [PDF]
Ding J, Yu Z, Liu JK, Huang T.
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CBMR: Coordinate-based meta-regression for group and covariate inference. [PDF]
Yu Y +5 more
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Using supermarket loyalty card data to investigate seasonal variation in laxative purchases in the UK. [PDF]
Burgess R +5 more
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The Poisson Process, Compound Poisson Process, and Poisson Random Field
2021Poisson processes broadly refer to stochastic processes that are the result of counting occurrences of some random phenomena (points) in time or space such that occurrences of points in disjoint regions are statistically independent, and counts of two or more occurrences in an infinitesimally small region are negligible.
Rabi Bhattacharya, Edward C. Waymire
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Journal of Statistical Physics, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eliazar, Iddo, Klafter, Joseph
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eliazar, Iddo, Klafter, Joseph
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Poisson processes and compound Poisson processes in insurance management [PDF]
Some assumptions with respect to the number and the amount of damages are introduced in the paper. It will be assumed that the average of the number of damages is a Poisson process, which leads to a compound Poisson process for the total damages.
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2007
The Poisson process is a stochastic counting process that arises naturally in a large variety of daily life situations. We present a few definitions of the Poisson process and discuss several properties as well as relations to some well-known probability distributions. We further briefly discuss the compound Poisson process.
Boxma, O.J., Yechiali, U.
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The Poisson process is a stochastic counting process that arises naturally in a large variety of daily life situations. We present a few definitions of the Poisson process and discuss several properties as well as relations to some well-known probability distributions. We further briefly discuss the compound Poisson process.
Boxma, O.J., Yechiali, U.
+4 more sources

