Marked Poisson Process
A Marked Poisson Process is a stochastic process in which events occur according to a Poisson process and each event is associated with an additional random variable, termed a mark, drawn independently from a specified mark distribution, thereby extending the standard Poisson process by encoding supplementary information at each event time.
35
Publications
3.3K
Citations
69
Authors
51
Institutions
Publications per year
2017–2026
3
Parents
35
An Introduction to Stochastic Modeling
Michael Frey, Howard M. Taylor, Samuel Karlin · Technometrics · 1994 · 1.3K citations
Prediction of Outstanding Liabilities in Non-Life Insurance
Ragnar Norberg · Astin Bulletin · 1993 · 169 citations · Full text
Business, Insurance, Risk Management +15
1–5 of 35
69
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 69
51
University of Copenhagen
Copenhagen, Denmark
3 h-index
3 publications
310 citations
Aalborg University
Aalborg, Denmark
2 h-index
3 publications
88 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
6 publications
82 citations
Politecnico di Torino
Turin, Italy
2 h-index
5 publications
1.2K citations

KTH Royal Institute of Technology
Stockholm, Sweden
2 h-index
2 publications
25 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
47 citations
National University of Singapore
Singapore, Singapore
2 h-index
2 publications
43 citations
Stanford University
Stanford, United States
1 h-index
2 publications
66 citations
1–8 of 51
JAP · 3 publications · 46 citations
3
h-index
3 publications · 310 citations
3
h-index
2 publications · 121 citations
2
h-index
2 publications · 183 citations
2
h-index
1 publications · 44 citations
1
h-index
1–5