Limit theorems for multi-type general branching processes with population dependence. (December 2020)
- Record Type:
- Journal Article
- Title:
- Limit theorems for multi-type general branching processes with population dependence. (December 2020)
- Main Title:
- Limit theorems for multi-type general branching processes with population dependence
- Authors:
- Fan, Jie Yen
Hamza, Kais
Jagers, Peter
Klebaner, Fima C. - Abstract:
- Abstract: A general multi-type population model is considered, where individuals live and reproduce according to their age and type, but also under the influence of the size and composition of the entire population. We describe the dynamics of the population as a measure-valued process and obtain its asymptotics as the population grows with the environmental carrying capacity. Thus, a deterministic approximation is given, in the form of a law of large numbers, as well as a central limit theorem. This general framework is then adapted to model sexual reproduction, with a special section on serial monogamic mating systems.
- Is Part Of:
- Advances in applied probability. Volume 52:Number 4(2020)
- Journal:
- Advances in applied probability
- Issue:
- Volume 52:Number 4(2020)
- Issue Display:
- Volume 52, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 52
- Issue:
- 4
- Issue Sort Value:
- 2020-0052-0004-0000
- Page Start:
- 1127
- Page End:
- 1163
- Publication Date:
- 2020-12
- Subjects:
- Age and type structure dependent population processes, -- size dependent reproduction, -- carrying capacity, -- law of large numbers, -- central limit theorem, -- diffusion approximation
60J80, -- 60F05, -- 92D25
Probabilities -- Periodicals
Stochastic models -- Periodicals
Electronic journals
Periodicals
519.2 - Journal URLs:
- http://www.appliedprobability.org/content.aspx?Group=journals&Page=apjournals ↗
- DOI:
- 10.1017/apr.2020.35 ↗
- Languages:
- English
- ISSNs:
- 0001-8678
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 15293.xml