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20172026
most citedEWF : simulating exact paths of the Wright--Fisher diffusion

8 citations · 14 across the 15 of their papers we have counts for

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q-bio.PE2025★ 1 cited

Bayesian inference from time series of allele frequency data using exact simulation techniques

Jaromir Sant, Paul A. Jenkins, Jere Koskela +1

A central statistical problem in population genetics is to infer evolutionary and biological parameters such as the strength of natural selection and allele age from DNA samples ex…

q-bio.PE2023★ 8 cited

EWF : simulating exact paths of the Wright--Fisher diffusion

Jaromir Sant, Paul A. Jenkins, Jere Koskela +1

The Wright--Fisher diffusion is important in population genetics in modelling the evolution of allele frequencies over time subject to the influence of biological phenomena such as…

q-bio.PE2019

Statistical tools for seed bank detection

Jochen Blath, Eugenio Buzzoni, Jere Koskela +1

In this article, we derive statistical tools to analyze and distinguish the patterns of genetic variability produced by classical and recent population genetic models related to se…

q-bio.PE2018

Robust model selection between population growth and multiple merger coalescents

Jere Koskela, Maite Wilke Berenguer

We study the effect of biological confounders on the model selection problem between Kingman coalescents with population growth, and Xi-coalescents involving simultaneous multiple…

q-bio.PE2017

Multi-locus data distinguishes between population growth and multiple merger coalescents

Jere Koskela

We introduce a low dimensional function of the site frequency spectrum that is tailor-made for distinguishing coalescent models with multiple mergers from Kingman coalescent models…