Results 241 to 250 of about 1,106,379 (297)
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2010
Properties of multidimensional Poisson point processes (PPPs) are discussed using a constructive approach readily accessible to a broad audience. The processes are defined in terms of a two-step simulation procedure, and their fundamental properties are derived from the simulation.
R. Streit
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Properties of multidimensional Poisson point processes (PPPs) are discussed using a constructive approach readily accessible to a broad audience. The processes are defined in terms of a two-step simulation procedure, and their fundamental properties are derived from the simulation.
R. Streit
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General methodology for nonlinear modeling of neural systems with Poisson point-process inputs
Mathematical Biosciences, 2005Theodore W Berger, Vasilis Z Marmarelis
exaly +2 more sources
Bootstrap Confidence Regions for the Intensity of a Poisson Point Process
Journal of the American Statistical Association, 1996A. Cowling, P. Hall, M. J. Phillips
exaly +4 more sources
Modeling and Analysis of LEO Mega-Constellations as Nonhomogeneous Poisson Point Processes
IEEE Vehicular Technology Conference, 2021Requirements and technological advancements towards 6th generation (6G) wireless networks lead to enabling and development of massive low Earth orbit (LEO) satellite constellations to provide ubiquitous and high-capacity connectivity, particularly for ...
N. Okati, T. Riihonen
semanticscholar +1 more source
Computers, Environment and Urban Systems, 2019
City land-use features and travel behavior are mutually related and restricted. This research attempts to model the spatial-temporal travel patterns based on spatial point pattern theory.
Shen Zhang +4 more
semanticscholar +1 more source
City land-use features and travel behavior are mutually related and restricted. This research attempts to model the spatial-temporal travel patterns based on spatial point pattern theory.
Shen Zhang +4 more
semanticscholar +1 more source
2014
In this chapter we review the notion of a Poisson point process on a measurable space as well as some basic operations (coloring, mapping, thinning) that we will need for the construction of the random interlacement point process and in the study of its properties. First we recall some well-known facts about the Poisson distribution.
Alexander Drewitz +2 more
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In this chapter we review the notion of a Poisson point process on a measurable space as well as some basic operations (coloring, mapping, thinning) that we will need for the construction of the random interlacement point process and in the study of its properties. First we recall some well-known facts about the Poisson distribution.
Alexander Drewitz +2 more
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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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Time series with Poisson point process
Applied Mathematics and Computation, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
M. A. Ghazal, A. Mitwalli Aly
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Robustness for Inhomogeneous Poisson Point Processes
Annals of the Institute of Statistical Mathematics, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Assunção, Renato, Guttorp, Peter
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