Point Process Characterization
Point Process Characterization is a formal methodology in the theory of stochastic processes that specifies the mathematical properties and distributional features uniquely defining a point process, distinguishing it by its focus on deriving complete probabilistic descriptions such as intensity measures, moment measures, or Laplace functionals.
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5.9K
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216
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142
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2017–2026
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114
The coincidence approach to stochastic point processes
Odile Macchi · Advances in Applied Probability · 1975 · 590 citations
Engineering, Mathematics, Physics +13
B. D. Ripley, F. P. Kelly · Journal of the London Mathematical Society · 1977 · 221 citations
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Centre National de la Recherche Scientifique
Paris, France
5 h-index
11 publications
585 citations
Massachusetts General Hospital
Boston, United States
4 h-index
8 publications
325 citations
Harvard University
Cambridge, United States
4 h-index
7 publications
114 citations
Boston University
Boston, United States
4 h-index
6 publications
143 citations
TU Bergakademie Freiberg
Freiberg, Germany
3 h-index
4 publications
99 citations
Aalborg University
Aalborg, Denmark
3 h-index
7 publications
163 citations
Technion – Israel Institute of Technology
Haifa, Israel
3 h-index
4 publications
105 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
6 publications
135 citations
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AAP · 10 publications · 858 citations
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JAP · 8 publications · 278 citations
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6 publications · 399 citations
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6 publications · 845 citations
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4 publications · 134 citations
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