Results 21 to 30 of about 28,661,875 (311)
Poisson Cox Point Processes for Vehicular Networks [PDF]
IEEE Transactions on Vehicular Technology, 2018 This paper analyzes statistical properties of the Poisson line Cox point process useful in the modeling of vehicular networks. The point process is created by a two-stage construction: a Poisson line process to model road infrastructure and independent ...
Chang-Sik Choi, F. Baccelli
semanticscholar +1 more source
Extremes for Solutions to Stochastic Difference Equations with Regularly Varying Tails
Revstat Statistical Journal, 2007 The main purpose of this paper is to look at the extremal properties of Xk = X∞ j=1 j Y−1 s=1 Ak−s ! Bk−j , k ∈ Z , where (Ak, Bk)k∈Z is a periodic sequence of independent R 2 +-valued random pairs.
Manuel G. Scotto
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Introduction to the Theory of Gibbs Point Processes [PDF]
Stochastic Geometry, 2017 The Gibbs point processes (GPP) constitute a large class of point processes with interaction between the points. The interaction can be attractive, repulsive, depending on geometrical features whereas the null interaction is associated with the so-called
D. Dereudre
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Determinantal Point Processes for Image Processing [PDF]
SIAM Journal on Imaging Sciences, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Launay, Claire +2 more
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CAPACITY DISTRIBUTIONS IN SPATIAL STOCHASTIC MODELS FOR TELECOMMUNICATION NETWORKS
Image Analysis and Stereology, 2011 We consider the stochastic subscriber line model as a spatial stochastic model for telecommunication networks and we are interested in the evaluation of the required capacities at different locations of the network in order to provide, in fine, an ...
Florian Voss +2 more
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Average Characteristic Polynomials of Determinantal Point Processes [PDF]
, 2015 We investigate the average characteristic polynomial $\mathbb E\big[\prod_{i=1}^N(z-x_i)\big] $ where the $x_i$'s are real random variables which form a determinantal point process associated to a bounded projection operator.
Hardy, Adrien
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A Review of Self-Exciting Spatio-Temporal Point Processes and Their Applications [PDF]
Statistical Science, 2017 Self-exciting spatio-temporal point process models predict the rate of events as a function of space, time, and the previous history of events. These models naturally capture triggering and clustering behavior, and have been widely used in fields where ...
Alex Reinhart
semanticscholar +1 more source
Local Central Limit Theorem for Determinantal Point Processes [PDF]
, 2014 We prove a local central limit theorem (LCLT) for the number of points $N(J)$ in a region $J$ in $\mathbb R^d$ specified by a determinantal point process with an Hermitian kernel.
Forrester, Peter J., Lebowitz, Joel L.
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Active Mini-Batch Sampling using Repulsive Point Processes [PDF]
AAAI Conference on Artificial Intelligence, 2018 The convergence speed of stochastic gradient descent (SGD) can be improved by actively selecting mini-batches. We explore sampling schemes where similar data points are less likely to be selected in the same mini-batch.
Cheng Zhang +3 more
semanticscholar +1 more source
On De la Peña Type Inequalities for Point Processes
Mathematics, 2022 There has been a renewed interest in exponential concentration inequalities for stochastic processes in probability and statistics over the last three decades.
Naiqi Liu +2 more
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