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20192023
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q-bio.PE2023

The Expected Sample Allele Frequencies from Populations of Changing Size via Orthogonal Polynomials

Lynette Caitlin Mikula, Claus Vogl

In this article, discrete and stochastic changes in (effective) population size are incorporated into the spectral representation of a biallelic diffusion process for drift and sma…

q-bio.PE2021

Forward-backward algorithms with a biallelic mutation-drift model: Orthogonal polynomials, and a coalescent/urn-model based approach

Claus Vogl, Sandra Peer, Lynette Caitlin Mikula

Inference of the marginal likelihood of sample allele configurations using backward algorithms yields identical results with the Kingman coalescent, the Moran model, and the diffus…

q-bio.PE2020

A nearly-neutral biallelic Moran model with biased mutation and linear and quadratic selection

Claus Vogl, Lynette Caitlin Mikula

In this article, a biallelic reversible mutation model with linear and quadratic selection is analyzed. The approach reconnects to one proposed by Kimura ( Possibility of extensive…

q-bio.PE2019

Maximum likelihood estimators for scaled mutation rates in an equilibrium mutation-drift model

Claus Vogl, Lynette C. Mikula, Conrad J. Burden

The stationary sampling distribution of a neutral decoupled Moran or Wright-Fisher diffusion with neutral mutations is known to first order for a general rate matrix with small but…

q-bio.PE2019

Maximum likelihood (ML) estimators for scaled mutation parameters with a strand symmetric mutation model in equilibrium

Claus Vogl, Lynette Caitlin Mikula

With the multiallelic parent-independent mutation-drift model, the equilibrium proportions of alleles are known to be Dirichlet distributed. A special case is the biallelic model,…