Poisson Point Process

2020 ◽  
pp. 1077-1077
Keyword(s):  
Point Process ◽  
Poisson Point Process

scholarly journals HARQ in Poisson Point Process-Based Heterogeneous Networks

2015 ◽  
Author(s):  
Chao Fang ◽  
Behrooz Makki ◽  
Yateng Hong ◽  
Xiaodong Xu ◽  
Tommy Svensson
Keyword(s):  
Point Process ◽  
Heterogeneous Networks ◽  
Poisson Point Process

sppmix: Poisson point process modeling using normal mixture models

2018 ◽  
Vol 33 (4) ◽  
pp. 1767-1798 ◽  
Author(s):  
Athanasios C. Micheas ◽  
Jiaxun Chen
Keyword(s):  
Mixture Models ◽  
Point Process ◽  
Process Modeling ◽  
Poisson Point Process ◽  
Normal Mixture ◽  
Normal Mixture Models

scholarly journals On Laslett's transform for the Boolean model

2001 ◽  
Vol 33 (1) ◽  
pp. 1-5 ◽  
Author(s):  
A. D. Barbour ◽  
V. Schmidt
Keyword(s):  
Poisson Process ◽  
Point Process ◽  
Simple Proof ◽  
Poisson Point Process ◽  
Boolean Model ◽  
Random Sets ◽  
Convex Compact ◽  
Homogeneous Poisson Process ◽  
Vertical Strip ◽  
Cumulative Process

Consider the Boolean model in ℝ2, where the germs form a homogeneous Poisson point process with intensity λ and the grains are convex compact random sets. It is known (see, e.g., Cressie (1993, Section 9.5.3)) that Laslett's rule transforms the exposed tangent points of the Boolean model into a homogeneous Poisson process with the same intensity. In the present paper, we give a simple proof of this result, which is based on a martingale argument. We also consider the cumulative process of uncovered area in a vertical strip and show that a (linear) Poisson process with intensity λ can be embedded in it.

Extremes for shot noise processes with heavy tailed amplitudes

1997 ◽  
Vol 34 (03) ◽  
pp. 643-656 ◽  
Author(s):  
William P. McCormick
Keyword(s):  
Point Process ◽  
Shot Noise ◽  
Renewal Process ◽  
Poisson Point Process ◽  
Point Processes ◽  
Extremal Index ◽  
Two Dimensional ◽  
Limiting Behavior ◽  
Local Maxima ◽  
Heavy Tailed

Extreme value results for a class of shot noise processes with heavy tailed amplitudes are considered. For a process of the form, , where {τ k } are the points of a renewal process and {Ak } are i.i.d. with d.f. having a regularly varying tail, the limiting behavior of the maximum is determined. The extremal index is computed and any value in (0, 1) is possible. Two-dimensional point processes of the form are shown to converge to a compound Poisson point process limit. As a corollary to this result, the joint limiting distribution of high local maxima is obtained.

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