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Poisson point process

In probability theory, statistics and related fields, a Poisson point process (also known as: Poisson random measure, Poisson random point field and Poisson point field) is a type of mathematical object that consists of points randomly located on a mathematical space with the essential feature that the points occur independently of one another. The…

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Mean
a 0 , t = ∫ 0 t λ ( α ) d α {\displaystyle a_{0,t}=\int _{0}^{t}\lambda (\alpha )d\alpha }
Variance
a 0 , t + ( a 0 , t ) 2 − ( a 0 , t ) 2 = a 0 , t {\displaystyle a_{0,t}+(a_{0,t})^{2}-(a_{0,t})^{2}=a_{0,t}} since R x ( t 1 , t 2 ) = a 0 , m i n ( t 1 , t 2 ) + a 0 , t 1 a 0…

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Overview

Overview of definitions

Homogeneous Poisson point process

Inhomogeneous Poisson point process

Simulation

General Poisson point process

History

Notation

Functionals and moment measures

Avoidance function

Approximations with Poisson point processes

Generalizations of Poisson point processes

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Map overview Semantic statistics

Poisson point process

Nodes153
Edges152
Triples276
Avg. degree1.99
Density0.013072
Components1

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Poisson point process

Top relations

related to Poisson distribution · 17
Poisson point process → At, Bernoulli, Despite, Ernst Abbe, For, In, It, Ladislaus Bortkiewicz, Lambda, Over, Philipp Ludwig, Poisson, Poisson's, Prussian, Seidel, Stigler's, The
has application · 13
Poisson point process → Aleksandr Khinchin, Andrey Kolmogorov, Defects, Examples, For, Goals, In, Nobel Laureate Theodor Svedberg, Poisson, Swedish, The, When, William Feller
related to Cox point process · 11
Poisson point process → Cox, David Cox, For, Gaussian, Gaussian Cox, Lambda, Lucien Le Cam, Maurice Quenouille, More, Poisson, The
related to Convergence to a Poisson point process · 10
Poisson point process → Aleksandr Khinchin, Conny Palm, For, However, In, Khinchin, Palm, Poisson, Similar, Such
related to Discovery · 10
Poisson point process → At, Filip Lundberg, For, In Sweden, John Michell, Pleiades, Poisson, Simon Newcomb, There, This
related to Stein's method · 9
Poisson point process → Cox, Gaussian, Palm, Poisson, Researchers, Stein's, Techniques, Upperbounds, Wasserstein
related to Thinning · 8
Poisson point process → Borel, For, Furthermore, Lambda, More, Poisson, Prekopa's, This
related to Defined in higher dimensions · 7
Poisson point process → Borel, Euclidean, For, Furthermore, Poisson, The, Then
related to Inhomogeneous Poisson point process · 7
Poisson point process → Borel, For Euclidean, In, Lambda, Poisson, Terminology, The
related to Points are uniformly distributed · 7
Poisson point process → Cartesian, Furthermore, If, More, Poisson, Terminology, This

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Important terminology

process poisson point textstyle displaystyle points random processes lambda measure number space probability intensity homogeneous used mathematical distribution independent function

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Poisson point processMeana 0 , t = ∫ 0 t λ ( α ) d α {\displaystyle a_{0,t}=\int _{0}^{t}\lambda (\alpha )d\alpha }1.00infobox
Poisson point processVariancea 0 , t + ( a 0 , t ) 2 − ( a 0 , t ) 2 = a 0 , t {\displaystyle a_{0,t}+(a_{0,t})^{2}-(a_{0,t})^{2}=a_{0,t}} since R x ( t 1 , t 2 ) = a 0 , m i n ( t 1 , t 2 ) + a 0 , t 1 a 0…1.00infobox
Poisson point processis aunderlying process to study how plants are distributed in plant communities0.90text
transmitters in a wireless networkinstance ofcan represent the locations of scattered objects0.80text
particles colliding into a particle detectorinstance ofcan represent the locations of scattered objects0.80text
or trees in a forestinstance ofcan represent the locations of scattered objects0.80text
linesinstance ofconsist of more complicated mathematical objects0.80text
polygonsinstance ofconsist of more complicated mathematical objects0.80text
and such processes can be based on the Poisson point processinstance ofconsist of more complicated mathematical objects0.80text
the plane where it plays a role in stochastic geometryinstance ofin higher dimensions0.80text
spatial statisticsinstance ofin higher dimensions0.80text
complete randomnessinstance ofthe number of points of a Poisson point process in each bounded subregion will be completely independent of all the others.This property is known under several names0.80text

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