Models of populations in which a type or location,
represented by a point in a metric space$E$, is associated with each
individual in the population are considered. A population process is
neutral if the chances of an individual replicating or dying do not depend
on its type. Measure-valued processes are obtained as infinite population
limits for a large class of neutral population models, and it is shown that
these measure-valued processes can be represented in terms of the total mass of
the population and the de Finetti measures associated with an $E^{\infty}$
-valued particle model$X=(X_1, X_2\ldots)$ such that, for each $t \geq
0,(X_1(t),X_2(t),\ldots)$ is exchangeable. The construction gives an explicit
connection between genealogical and diffusion models in population genetics.
The class of measure-valued models covered includes both neutral Fleming-Viot
and Dawson-Watanabe processes. The particle model gives a simple representation
of the Dawson-Perkins historical process and Perkins’s historical
stochastic integral can be obtained in terms of classical semimartingale
integration. A number of applications to new and known results on conditioning,
uniqueness and limiting behavior are described.
@article{1022677258,
author = {Donnelly, Peter and Kurtz, Thomas G.},
title = {Particle Representations for Measure-Valued Population
Models},
journal = {Ann. Probab.},
volume = {27},
number = {1},
year = {1999},
pages = { 166-205},
language = {en},
url = {http://dml.mathdoc.fr/item/1022677258}
}
Donnelly, Peter; Kurtz, Thomas G. Particle Representations for Measure-Valued Population
Models. Ann. Probab., Tome 27 (1999) no. 1, pp. 166-205. http://gdmltest.u-ga.fr/item/1022677258/