6533b822fe1ef96bd127cc97

RESEARCH PRODUCT

Weak convergence to the coalescent in neutral population models

Martin Möhle

subject

Large classCoalescence (physics)Statistics and ProbabilityMarkov chainWeak convergenceGeneral Mathematics010102 general mathematicsPopulation genetics01 natural sciencesCoalescent theory010104 statistics & probabilityPopulation modelStatisticsJumpStatistical physics0101 mathematicsStatistics Probability and UncertaintyMathematics

description

For a large class of neutral population models the asymptotics of the ancestral structure of a sample of n individuals (or genes) is studied, if the total population size becomes large. Under certain conditions and under a well-known time-scaling, which can be expressed in terms of the coalescence probabilities, weak convergence in D E ([0,∞)) to the coalescent holds. Further the convergence behaviour of the jump chain of the ancestral process is studied. The results are used to approximate probabilities which are of certain interest in applications, for example hitting probabilities.

https://doi.org/10.1017/s0021900200017241