Representations of population models in terms of countable systems of
particles are constructed, in which each particle has a `type', typically
recording both spatial position and genetic type, and a level. For finite
intensity models, the levels are distributed on $0,$, whereas in the
infinite intensity limit, at each time $t$, the joint distribution of types and
levels is conditionally Poisson, with mean measure $\Xi (t)l$ where $l$
denotes Lebesgue measure and $\Xi (t)$ is a measure-valued population process.
Key forces of ecology and genetics can be captured within this common
framework. Models covered incorporate both individual and event based births
and deaths, one-for-one replacement, immigration, independent `thinning' and
independent or exchangeable spatial motion and mutation of individuals. Since
birth and death probabilities can depend on type, they also include natural
selection.
%0 Generic
%1 etheridge2014genealogical
%A Etheridge, Alison M.
%A Kurtz, Thomas G.
%D 2014
%K Moran_model SLFV duality lookdown_process stepping_stone_models voter_model
%T Genealogical constructions of population models
%U http://arxiv.org/abs/1402.6724
%X Representations of population models in terms of countable systems of
particles are constructed, in which each particle has a `type', typically
recording both spatial position and genetic type, and a level. For finite
intensity models, the levels are distributed on $0,$, whereas in the
infinite intensity limit, at each time $t$, the joint distribution of types and
levels is conditionally Poisson, with mean measure $\Xi (t)l$ where $l$
denotes Lebesgue measure and $\Xi (t)$ is a measure-valued population process.
Key forces of ecology and genetics can be captured within this common
framework. Models covered incorporate both individual and event based births
and deaths, one-for-one replacement, immigration, independent `thinning' and
independent or exchangeable spatial motion and mutation of individuals. Since
birth and death probabilities can depend on type, they also include natural
selection.
@misc{etheridge2014genealogical,
abstract = {Representations of population models in terms of countable systems of
particles are constructed, in which each particle has a `type', typically
recording both spatial position and genetic type, and a level. For finite
intensity models, the levels are distributed on $[0,\lambda ]$, whereas in the
infinite intensity limit, at each time $t$, the joint distribution of types and
levels is conditionally Poisson, with mean measure $\Xi (t)\times l$ where $l$
denotes Lebesgue measure and $\Xi (t)$ is a measure-valued population process.
Key forces of ecology and genetics can be captured within this common
framework. Models covered incorporate both individual and event based births
and deaths, one-for-one replacement, immigration, independent `thinning' and
independent or exchangeable spatial motion and mutation of individuals. Since
birth and death probabilities can depend on type, they also include natural
selection.},
added-at = {2016-03-25T19:25:02.000+0100},
author = {Etheridge, Alison M. and Kurtz, Thomas G.},
biburl = {https://www.bibsonomy.org/bibtex/26c933f94901e8f613a7df680dccd63a3/peter.ralph},
interhash = {9c82514128e9e4b7634d133f2da7f8ee},
intrahash = {6c933f94901e8f613a7df680dccd63a3},
keywords = {Moran_model SLFV duality lookdown_process stepping_stone_models voter_model},
note = {arxiv:1402.6724},
timestamp = {2016-09-17T11:33:50.000+0200},
title = {Genealogical constructions of population models},
url = {http://arxiv.org/abs/1402.6724},
year = 2014
}