Multivariate Point Processes
Multivariate Point Processes is a stochastic process that models the random occurrence of multiple types of events in time or space, distinguished from univariate point processes by incorporating jointly distributed event sequences across different event categories.
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2017–2026
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Emmanuel Bacry, Iacopo Mastromatteo, Jean–François Muzy · Market Microstructure and Liquidity · 2015 · 411 citations
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Stanford University
Stanford, United States
6 h-index
8 publications
445 citations

Universitat Jaume I
Castellon, Spain
5 h-index
6 publications
120 citations
University of Copenhagen
Copenhagen, Denmark
5 h-index
6 publications
349 citations
ETH Zurich
Zurich, Switzerland
5 h-index
9 publications
1.4K citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
9 publications
1.5K citations
University of California, Berkeley
Berkeley, United States
4 h-index
4 publications
131 citations
Aalborg University
Aalborg, Denmark
4 h-index
5 publications
224 citations
The Institute of Statistical Mathematics
Tokyo, Japan
3 h-index
3 publications
822 citations
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Repository · 9 publications · 426 citations
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JAP · 6 publications · 546 citations
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Repository · 4 publications · 311 citations
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4 publications · 535 citations
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