Multitype Branching Processes is a stochastic branching process model in which individuals are classified into distinct types, each with its own offspring distribution, thereby allowing for heterogeneous reproduction dynamics across types within a structured population.
167
Publications
6.7K
Citations
202
Authors
153
Institutions
Publications per year
2017–2026
22
Parents
Publications
167
Measure change in multitype branching
J. D. Biggins, Andreas E. Kyprianou · Advances in Applied Probability · 2004 · 221 citations · Full text
Engineering, Economics, Mathematics +17
1–5 of 167
Authors
202
- EE
7
h-index
- PO
5
h-index
- JD
5
h-index
- VV
5
h-index
- AE
4
h-index
1–5 of 202
Institutions
153
Chalmers University of Technology
Gothenburg, Sweden
7 h-index
7 publications
166 citations
Université de Montréal
Montreal, Canada
7 h-index
7 publications
447 citations
Steklov Mathematical Institute
Moscow, Russia
5 h-index
5 publications
76 citations
University of Edinburgh
Edinburgh, United Kingdom
4 h-index
5 publications
658 citations
University of Sheffield
Sheffield, United Kingdom
4 h-index
4 publications
340 citations
The University of Melbourne
Melbourne, Australia
4 h-index
5 publications
87 citations
University of Szeged
Szeged, Hungary
3 h-index
5 publications
79 citations
Weizmann Institute of Science
Rehovot, Israel
3 h-index
4 publications
129 citations
1–8 of 153
Venues
- Advances in Applied Probability
AAP · 23 publications · 1.3K citations
16
h-index
- Journal of Applied Probability
JAP · 29 publications · 563 citations
15
h-index
- The Annals of Applied Probability
9 publications · 351 citations
9
h-index
- The Annals of Probability
8 publications · 322 citations
8
h-index
- Stochastic Processes and their Applications
6 publications · 441 citations
6
h-index
1–5