activity
20242026
collaborators

9 papers

math.PR2026

Genealogical processes of sequential Monte Carlo methods and other non-neutral population models under rapid mutation

Jere Koskela, Paul A. Jenkins, Adam M. Johansen +1

We show that genealogical trees arising from a broad class of non-neutral models of population evolution converge to the Kingman coalescent under a suitable rescaling of time. As w…

physics.med-ph2026

SDE-based Monte Carlo dose calculation for proton therapy validated against Geant4

Christopher B. C. Dean, Maria L. Pérez-Lara, Emma Horton +3

Objective: To assess the accuracy and computational performance of a stochastic differential equation (SDE)--based model for proton beam dose calculation by benchmarking against Ge…

math.ST2026

Large-sample analysis of cost functionals for inference under the coalescent

Martina Favero, Jere Koskela

The coalescent is a foundational model of latent genealogical trees under neutral evolution, but suffers from intractable sampling probabilities. Methods for approximating these sa…

math.PR2025

A debiased Bernoulli factory and unbiased estimation of a probability

Jere Koskela, Toni Karvonen, Krzysztof Łatuszyński +1

Given a known function and a random but almost surely finite number of independent, Ber-distributed random variables with unknown , w…

math.ST2025

Asymptotic guarantees for Bayesian phylogenetic tree reconstruction

Alisa Kirichenko, Luke J. Kelly, Jere Koskela

We derive tractable criteria for the consistency of Bayesian tree reconstruction procedures, which constitute a central class of algorithms for inferring common ancestry among DNA…

math.PR2025

Multi-type -coalescents from structured population models with bottlenecks

Marta Dai Pra, Alison Etheridge, Jere Koskela +1

We introduce an individual-based model for structured populations undergoing demographic bottlenecks, i.e. drastic reductions in population size that last many generations and can…