Random Measures
Random Measures is a stochastic process that assigns a random non-negative value to each set in a given measurable space, distinguishing itself by modeling the random distribution of mass or intensity over measurable subsets in the context of jump processes.
272
Publications
16.1K
Citations
361
Authors
257
Institutions
Publications per year
2017–2026
37
Parents
272
Petar M. Djurić, J.H. Kotecha, J. Zhang et al. · IEEE Signal Processing Magazine · 2003 · 953 citations
Petar M. Djurić, J.H. Kotecha, Jianqui Zhang et al. · IEEE Signal Processing Magazine · 2003 · 681 citations
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257
University of Pavia
Pavia, Italy
12 h-index
20 publications
1.5K citations
University of Oxford
Oxford, United Kingdom
8 h-index
10 publications
417 citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
12 publications
577 citations

University of Turin
Turin, Italy
6 h-index
11 publications
565 citations
Institut de Mathématiques de Bordeaux
Talence, France
6 h-index
8 publications
220 citations

Université Paris Dauphine-PSL
Paris, France
6 h-index
13 publications
634 citations
University of California, Berkeley
Berkeley, United States
5 h-index
5 publications
249 citations
University of Kent
Canterbury, United Kingdom
5 h-index
8 publications
326 citations
1–8 of 257
19 publications · 764 citations
13
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AAP · 14 publications · 541 citations
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11 publications · 496 citations
11
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7 publications · 132 citations
7
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Repository · 7 publications · 185 citations
7
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