Results 31 to 40 of about 30,785,448 (215)
Two-point correlation properties of stochastic "cloud processes'' [PDF]
We study how the two-point density correlation properties of a point particle distribution are modified when each particle is divided, by a stochastic process, into an equal number of identical "daughter" particles. We consider generically that there may
A. Gabrielli +10 more
core +3 more sources
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
doaj +2 more sources
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
doaj +1 more source
Local Central Limit Theorem for Determinantal Point Processes [PDF]
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.
core +3 more sources
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
doaj +1 more source
User Point Processes in Cellular Networks [PDF]
The point process of concurrent users is critical for the analysis of cellular systems, in particular for the uplink and for full-duplex communication. We analyze the properties of two popular models.
M. Haenggi
semanticscholar +1 more source
Monte Carlo with determinantal point processes [PDF]
We show that repulsive random variables can yield Monte Carlo methods with faster convergence rates than the typical $N^{-1/2}$, where $N$ is the number of integrand evaluations.
R. Bardenet, Adrien Hardy
semanticscholar +1 more source
Cumulants of Hawkes point processes
We derive explicit, closed-form expressions for the cumulant densities of a multivariate, self-exciting Hawkes point process, generalizing a result of Hawkes in his earlier work on the covariance density and Bartlett spectrum of such processes.
Hertz, John +2 more
core +1 more source
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
doaj +1 more source
NETWORK DETECTION IN RASTER DATA USING MARKED POINT PROCESSES [PDF]
We propose a new approach for the automatic detection of network structures in raster data. The model for the network structure is represented by a graph whose nodes and edges correspond to junction-points and to connecting line segments, respectively ...
A. Schmidt +4 more
doaj +1 more source

