Results 11 to 20 of about 76,150 (256)
Generalizing Ellipsoidal Growth [PDF]
This paper generalizes previous work of Rios and Villa on spherical growth. The generalized equation applies to nucleation of ellipsoids according to an inhomogeneous Poisson point process.
Gabriella Maria Silveira de Sá +6 more
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Uniform Deconvolution for Poisson Point Processes
We focus on the estimation of the intensity of a Poisson process in the presence of a uniform noise. We propose a kernel-based procedure fully calibrated in theory and practice. We show that our adaptive estimator is optimal from the oracle and minimax points of view, and provide new lower bounds when the intensity belongs to a Sobolev ball.
Bonnet, Anna +3 more
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The evolution of the fifth-generation (5G)/ beyond 5G (B5G) mobile communication networks greatly depends on the seamless integration of terrestrial and sky networks over advanced multi-tier heterogeneous network (HetNet) infrastructure.
Pengshan Ji +4 more
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Rare Events and Poisson Point Processes [PDF]
The aim of the present work is to show that the results obtained earlier on the approximation of distributions of sums of independent terms by the accompanying compound Poisson laws may be interpreted as rather sharp quantitative estimates for the closeness between the sample containing independent observations of rare events and the Poisson point ...
Götze, F., Zaitsev, A. Yu.
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MODELLING THE POSITION OF CELL PROFILES ALLOWING FOR BOTH INHOMOGENEITY AND INTERACTION
It is of interest to consider models for point processes that allow for interaction between the points as well as for inhomogeneity in the intensity of the points.
Linda Stougaard Nielsen
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Analytical and numerical models of nucleation and growth transformations usually suppose that nuclei are located uniform randomly, i.e., according to a Poisson point process, within the matrix.
Harison da Silva Ventura +4 more
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A Stochastic Geometry Approach to EMF Exposure Modeling
Downlink exposure to electromagnetic fields due to cellular base stations in urban environments is studied using the stochastic geometry framework. A two-dimensional Poisson Point Process is assumed for the base station distribution.
Quentin Gontier +6 more
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The Cauchy–Schwarz Divergence for Poisson Point Processes [PDF]
In this paper, we extend the notion of Cauchy-Schwarz divergence to point processes and establish that the Cauchy-Schwarz divergence between the probability densities of two Poisson point processes is half the squared $\mathbf{L^{2}}$-distance between their intensity functions. Extension of this result to mixtures of Poisson point processes and, in the
Hung Gia Hoang +3 more
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On the classification problem for Poisson point processes
We study the binary classification problem for Poisson point processes, which are allowed to take values in a general metric space. The problem is tackled in two different ways: estimating nonparametricaly the intensity functions of the processes (and then plugged into a deterministic formula which expresses the regression function in terms of the ...
Alejandro Cholaquidis +3 more
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Deterministic walk on Poisson point process
A deterministic walk on a Poisson point process in Rd is an oriented graph where each point of the process is connected to only one other point following a deterministic and stationary rule of connection.
Stum Simon Le
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