Self-exciting Processes
Self-Exciting Processes is a type of counting process in which the occurrence of each event increases the likelihood of subsequent events, distinguished by an intensity function that depends on the history of past events, thereby modeling phenomena where activity fosters further activity.
191
Publications
18.1K
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381
Authors
242
Institutions
Publications per year
2017–2026
71
Variants
Self-exciting Counting Processes
191
Spectra of some self-exciting and mutually exciting point processes
Alan G. Hawkes · Biometrika · 1971 · 2.2K citations
Self-Exciting Point Process Modeling of Crime
George Mohler, Martin B. Short, P. Jeffrey Brantingham et al. · Journal of the American Statistical Association · 2011 · 874 citations
1–5 of 191
381
University of California, Los Angeles, United States
6 publications · 468 citations
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University of California, Los Angeles, United States
5 publications · 1.1K citations
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242
ETH Zurich
Zurich, Switzerland
11 h-index
17 publications
1.5K citations
University of California, Los Angeles
Los Angeles, United States
8 h-index
24 publications
5.6K citations
Georgia Institute of Technology
Atlanta, United States
7 h-index
17 publications
1.5K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
10 publications
307 citations

Durham University
Durham, United Kingdom
5 h-index
5 publications
3.3K citations
Swiss Finance Institute
Zurich, Switzerland
4 h-index
4 publications
461 citations
University of Oxford
Oxford, United Kingdom
4 h-index
6 publications
225 citations

Washington University in St. Louis
St Louis, United States
4 h-index
6 publications
112 citations
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JAP · 10 publications · 1.6K citations
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Repository · 8 publications · 247 citations
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7 publications · 159 citations
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Repository · 6 publications · 517 citations
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PRE · 5 publications · 157 citations
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