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Hauptverfasser: Chen, Peng, Xiong, Jie, Xu, Lihu, Zheng, Jiayu
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2407.09102
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author Chen, Peng
Xiong, Jie
Xu, Lihu
Zheng, Jiayu
author_facet Chen, Peng
Xiong, Jie
Xu, Lihu
Zheng, Jiayu
contents We apply a Lindeberg principle under the Markov process setting to approximate the Wright-Fisher model with neutral $r$-alleles using a diffusion process, deriving an error rate based on a function class distance involving fourth-order bounded differentiable functions. This error rate consists of a linear combination of the maximum mutation rate and the reciprocal of the population size. Our result improves the error bound in the seminal work [PNAS,1977], where only the special case $r=2$ was studied.
format Preprint
id arxiv_https___arxiv_org_abs_2407_09102
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantitative diffusion approximation for the Neutral $r$-Alleles Wright-Fisher Model with Mutations
Chen, Peng
Xiong, Jie
Xu, Lihu
Zheng, Jiayu
Probability
We apply a Lindeberg principle under the Markov process setting to approximate the Wright-Fisher model with neutral $r$-alleles using a diffusion process, deriving an error rate based on a function class distance involving fourth-order bounded differentiable functions. This error rate consists of a linear combination of the maximum mutation rate and the reciprocal of the population size. Our result improves the error bound in the seminal work [PNAS,1977], where only the special case $r=2$ was studied.
title Quantitative diffusion approximation for the Neutral $r$-Alleles Wright-Fisher Model with Mutations
topic Probability
url https://arxiv.org/abs/2407.09102