Results 11 to 20 of about 6,905,405 (185)
Extremes for Solutions to Stochastic Difference Equations with Regularly Varying Tails
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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DETECTING LINEAR FEATURES BY SPATIAL POINT PROCESSES [PDF]
This paper proposes a novel approach for linear feature detection. The contribution is twofold: a novel model for spatial point processes and a new method for linear feature detection.
D. Chai, A. Schmidt, C. Heipke
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Determinantal Point Processes for Image Processing [PDF]
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
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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Continuum percolation for Cox point processes [PDF]
We investigate continuum percolation for Cox point processes, that is, Poisson point processes driven by random intensity measures. First, we derive sufficient conditions for the existence of non-trivial sub- and super-critical percolation regimes based ...
Cali, Elie +2 more
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Procesos puntuales, densidades producto y biología celular
En este artículo se explica cómo los procesos puntuales han sido usados con éxito para modelar problemas de poblaciones celulares. En particular, se muestra la utilidad de la técnica de densidades producto para tratar un problema de células sujetas a ...
VISWANATHAN ARUNACHALAM
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On De la Peña Type Inequalities for Point Processes
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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In many contexts such as queuing theory, spatial statistics, geostatistics and meteorology, data are observed at irregular spatial positions. One model of this situation involves considering the observation points as generated by a Poisson process. Under
McElroy, Tucker, Politis, Dimitris N.
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Poisson approximation of binomial point processes [PDF]
In the paper, we study properties of the vertex process from convex hulls generated by independent observations of a two-dimensional random vector, the distribution of which behaves like a regularly varying function near the boundary of the support of ...
Khamdamov Isakjan, Sharipova Lola
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The Extreme Value Support Measure Machine for Group Anomaly Detection
Group anomaly detection is a subfield of pattern recognition that aims at detecting anomalous groups rather than individual anomalous points. However, existing approaches mainly target the unusual aggregate of points in high-density regions. In this way,
Lixuan An, Bernard De Baets, Stijn Luca
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