Point Process Prediction
Point Process Prediction is a methodological framework within stochastic process analysis that enables the forecasting of future event times and locations by modeling the conditional intensity function of a point process based on its historical realization.
39
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1.4K
Citations
102
Authors
55
Institutions
Publications per year
2017–2026
18
Parents
39
A Tutorial on Hawkes Processes for Events in Social Media
arXiv (Cornell University) · 2017 · 61 citations · Full text
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Georgia Institute of Technology
Atlanta, United States
4 h-index
11 publications
208 citations
University of Virginia
Charlottesville, United States
3 h-index
3 publications
53 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
4 publications
146 citations
Georgia State University
Atlanta, United States
2 h-index
2 publications
26 citations
Korea University
Seoul, South Korea
2 h-index
2 publications
51 citations
Stanford University
Stanford, United States
2 h-index
2 publications
51 citations

Victoria University of Wellington
Wellington, New Zealand
2 h-index
2 publications
60 citations

Australian National University
Canberra, Australia
2 h-index
2 publications
60 citations
1–8 of 55
Repository · 4 publications · 118 citations
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JAP · 2 publications · 60 citations
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1 publications · 40 citations
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Conference · 1 publications · 15 citations
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1 publications · 196 citations
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