About: Point process

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In statistics and probability theory, a point process or point field is a collection of mathematical points randomly located on a mathematical space such as the real line or Euclidean space.Point processes can be used for spatial data analysis, which is of interest in such diverse disciplines as forestry, plant ecology, epidemiology, geography, seismology, materials science, astronomy, telecommunications, computational neuroscience, economics and others.

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  • Ein Punktprozess ist ein spezieller stochastischer Prozess und somit Untersuchungsobjekt der Wahrscheinlichkeitstheorie, einem Teilgebiet der Mathematik. Anschaulich modellieren Punktprozesse die zufällige Verteilung von Punkten, im einfachsten Fall auf den positiven reellen Zahlen, im oder in allgemeineren Mengen. Bekanntestes Beispiel eines Punktprozesses ist der Poisson-Prozess, der auch Poisson-Punkt-Prozess genannt wird. (de)
  • En probabilité et statistique, un processus ponctuel est un type particulier de processus stochastique pour lequel une réalisation est un ensemble de points isolés du temps et/ou de l'espace. Par exemple, la position des arbres dans une forêt peut être modélisée comme la réalisation d'un processus ponctuel. Les processus ponctuels sont des objets très étudiés en probabilité et en statistique pour représenter et analyser des données spatialisées qui interviennent dans une multitude de domaines telle que l'écologie, l'astronomie, l'épidémiologie, la géographie, la sismologie, les télécommunications, la science des matériaux et beaucoup d'autres. Le cas particulier des processus ponctuels sur la droite réelle est très étudié, la connaissance de la distance entre deux points consécutifs caractérisant le processus. Ce type de processus ponctuel est très utilisé pour modéliser des événements aléatoires dans le temps, tels que l'arrivée d'un client (théorie des files d'attente), l'impulsion d'un neurone... (fr)
  • In statistics and probability theory, a point process or point field is a collection of mathematical points randomly located on a mathematical space such as the real line or Euclidean space.Point processes can be used for spatial data analysis, which is of interest in such diverse disciplines as forestry, plant ecology, epidemiology, geography, seismology, materials science, astronomy, telecommunications, computational neuroscience, economics and others. There are different mathematical interpretations of a point process, such as a random counting measure or a random set. Some authors regard a point process and stochastic process as two different objects such that a point process is a random object that arises from or is associated with a stochastic process, though it has been remarked that the difference between point processes and stochastic processes is not clear. Others consider a point process as a stochastic process, where the process is indexed by sets of the underlying space on which it is defined, such as the real line or -dimensional Euclidean space. Other stochastic processes such as renewal and counting processes are studied in the theory of point processes. Sometimes the term "point process" is not preferred, as historically the word "process" denoted an evolution of some system in time, so point process is also called a random point field. Point processes on the real line form an important special case that is particularly amenable to study, because the points are ordered in a natural way, and the whole point process can be described completely by the (random) intervals between the points. These point processes are frequently used as models for random events in time, such as the arrival of customers in a queue (queueing theory), of impulses in a neuron (computational neuroscience), particles in a Geiger counter, location of radio stations in a telecommunication network or of searches on the world-wide web. (en)
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  • June 2020 (en)
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  • The values that this mapping taking are integers rather then real numbers, so this can not be considered as a measure (en)
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  • Ein Punktprozess ist ein spezieller stochastischer Prozess und somit Untersuchungsobjekt der Wahrscheinlichkeitstheorie, einem Teilgebiet der Mathematik. Anschaulich modellieren Punktprozesse die zufällige Verteilung von Punkten, im einfachsten Fall auf den positiven reellen Zahlen, im oder in allgemeineren Mengen. Bekanntestes Beispiel eines Punktprozesses ist der Poisson-Prozess, der auch Poisson-Punkt-Prozess genannt wird. (de)
  • In statistics and probability theory, a point process or point field is a collection of mathematical points randomly located on a mathematical space such as the real line or Euclidean space.Point processes can be used for spatial data analysis, which is of interest in such diverse disciplines as forestry, plant ecology, epidemiology, geography, seismology, materials science, astronomy, telecommunications, computational neuroscience, economics and others. (en)
  • En probabilité et statistique, un processus ponctuel est un type particulier de processus stochastique pour lequel une réalisation est un ensemble de points isolés du temps et/ou de l'espace. Par exemple, la position des arbres dans une forêt peut être modélisée comme la réalisation d'un processus ponctuel. (fr)
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  • Punktprozess (de)
  • Processus ponctuel (fr)
  • Point process (en)
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