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Identifying Potassium-Associated Ecological Transition Zones for <i>Mimosa pigra</i> Invasion Using Explainable Machine Learning and Bayesian Inference. [PDF]
Gomontean B, Pingal AC, Khamthong K.
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Accurate computation of ionic concentrations in the synaptic cleft requires the full Poisson-Nernst-Planck (PNP) equations. [PDF]
Jæger KH, Tveito A.
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Temporal point process modeling of aggressive behavior onset in psychiatric inpatient youths with autism. [PDF]
Potter M +8 more
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Apparent cooperativity between human CMV virions introduces errors in conventional methods of calculating multiplicity of infection. [PDF]
Peterson C +3 more
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Approximation of a Sample by a Poisson Point Process
Journal of Mathematical Sciences, 2005The distribution of a sum of \(n\) independent random variables \(X_i\) has been approximated by that of the `accompanying' infinitely divisible law, with an error bound uniformly over all distributions: see, for example, \textit{È. L. Presman} [Theory Probab. Appl. 18, 378--384 (1973); translation from Teor. Veroyatn. Primen.
A Yu Zaitsev
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2014
This chapter will serve as a quick review of the essential results in the theory of Poisson point processes (PPPs) that we shall use for our analysis later in the book. However, we shall first take a step back and discuss point processes in general and their applicability to our wireless deployments of interest.
Alexander Drewitz +2 more
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This chapter will serve as a quick review of the essential results in the theory of Poisson point processes (PPPs) that we shall use for our analysis later in the book. However, we shall first take a step back and discuss point processes in general and their applicability to our wireless deployments of interest.
Alexander Drewitz +2 more
openaire +2 more sources
On Some Applications of Poisson Point Processes
Communications in Statistics - Simulation and Computation, 2012Poisson point processes play important role in various domains of Probability Theory and Mathematical Statistics. In this article, we investigate only two applications of Poisson point processes: a generated white noise problem and parameters estimation problem. This work continues the investigations started in paper Egorov and Kondybaev (2009).
Vladimir Egorov, Nourlan Kondybaev
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