Results 51 to 60 of about 30,785,448 (215)
Point processes and stochastic displacement fields
, 2004 The effect of a stochastic displacement field on a statistically independent point process is analyzed. Stochastic displacement fields can be divided into two large classes: spatially correlated and uncorrelated.
Gabrielli, Andrea
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New Computer Experiment Designs with Area-Interaction Point Processes
MathematicsThis article presents a novel method for constructing computer experiment designs based on the theory of area-interaction point processes. This method is essential for capturing the interactions between different elements within a modeled system ...
Ahmed Ait Ameur +2 more
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, 2007 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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SHAPE FROM TEXTURE USING LOCALLY SCALED POINT PROCESSES
Image Analysis and Stereology, 2015 Shape from texture refers to the extraction of 3D information from 2D images with irregular texture. This paper introduces a statistical framework to learn shape from texture where convex texture elements in a 2D image are represented through a point ...
Eva-Maria Didden +3 more
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Rescaling Marked Point Processes [PDF]
Australian <html_ent glyph="@amp;" ascii="&"/> New Zealand Journal of Statistics, 2004 From the authors' abstract: \textit{P.-A. Meyer} [in: Sém. Bourbaki 1968/69, No. 361, 245--259 (1971; Zbl 0273.60053)] showed how to use the compensator to rescale a multivariate point process, forming independent Poisson processes with intensity 1. Meyer's result has been generalized to multidimensional point processes.
David Vere-Jones +1 more
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Learning Conditional Generative Models for Temporal Point Processes
AAAI Conference on Artificial Intelligence, 2018 Estimating the future event sequence conditioned on current observations is a long-standing and challenging task in temporal analysis. On one hand for many real-world problems the underlying dynamics can be very complex and often unknown.
Shuai Xiao +6 more
semanticscholar +1 more source
Neveu’s Exchange Formula for Analysis of Wireless Networks With Hotspot Clusters
Frontiers in Communications and Networks, 2022 Theory of point processes, in particular Palm calculus within the stationary framework, plays a fundamental role in the analysis of spatial stochastic models of wireless communication networks. Neveu’s exchange formula, which connects the respective Palm
Naoto Miyoshi
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Realizability of Point Processes [PDF]
Journal of Statistical Physics, 2007 There are various situations in which it is natural to ask whether a given collection of $k$ functions, $ _j(\r_1,...,\r_j)$, $j=1,...,k$, defined on a set $X$, are the first $k$ correlation functions of a point process on $X$. Here we describe some necessary and sufficient conditions on the $ _j$'s for this to be true.
Kuna T., Lebowitz J. L., Speer E. R.
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Fingerprint Analysis with Marked Point Processes [PDF]
, 2014 We present a framework for fingerprint matching based on marked point process models. An efficient Monte Carlo algorithm is developed to calculate the marginal likelihood ratio for the hypothesis that two observed prints originate from the same finger ...
Forbes, Peter G. M. +2 more
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Multifractal and Entropic Properties of Seismic Noise in the Japanese Islands
Fractal and FractionalThis article examines the behavior of seismic noise fields over the Japanese islands recorded by the F-net seismic network for 1997–2025. This paper uses nonlinear noise statistics: the entropy of the wavelet coefficient distribution, the Donoho–Johnston
Alexey Lyubushin
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