Jere Koskela

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Paul JenkinsDepartments of Statistics & Computer Science, University of WarwickVerified email at warwick.ac.uk
Adam M. JohansenUniversity of WarwickVerified email at warwick.ac.uk
Jaromir SantUniversity of OxfordVerified email at stats.ox.ac.uk
Jerome KelleherBig Data Institute, University of OxfordVerified email at well.ox.ac.uk
David BaldingHonorary positions at Melbourne Integrative Genomics, U Melbourne, and UCL Genetics InstituteVerified email at unimelb.edu.au
Ali MahmoudiUniversity of MelbourneVerified email at unimelb.edu.au
Anastasia IgnatievaSchool of Mathematics and Statistics, University of GlasgowVerified email at glasgow.ac.uk
Bjarki EldonPostdoctoral research associate, Institute of Mathematics, TU BerlinVerified email at math.tu-berlin.de
Einar ÁrnasonProfessor Evolutionary Biology, University of IcelandVerified email at hi.is
Anthony Wilder WohnsStanford University School of MedicineVerified email at stanford.edu
Gregor GorjancThe Roslin Institute, University of Edinburgh // Biotechnical faculty, University of LjubljanaVerified email at roslin.ed.ac.uk
Simon MyersLecturer in Bioinformatics, Oxford UniversityVerified email at stats.ox.ac.uk
Martina FaveroStockholm UniversityVerified email at math.su.se
Xavier DidelotUniversity of WarwickVerified email at warwick.ac.uk
Krzysztof LatuszynskiUniversity of Warwick, Department of StatisticsVerified email at warwick.ac.uk
David HelekalPhD Student, University of WarwickVerified email at warwick.ac.uk
Richard G. EverittUniversity of WarwickVerified email at warwick.ac.uk
Alicia GillUniversity of WarwickVerified email at warwick.ac.uk
Ivana ValentićDepartment of Mathematics, Faculty of Science, University of ZagrebVerified email at math.hr
Karen HabermannUniversity of Warwick, Department of StatisticsVerified email at warwick.ac.uk

Jere Koskela

Reader, School of Mathematics, Statistics and Physics, Newcastle University

Verified email at newcastle.ac.uk - Homepage

Coalescent processes Monte Carlo methods intractable likelihood inference from stochastic processes


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Efficient ancestry and mutation simulation with msprime 1.0 F Baumdicker, G Bisschop, D Goldstein, G Gower, AP Ragsdale, ... Genetics 220 (3), iyab229, 2022	213	2022
Multi-locus data distinguishes between population growth and multiple merger coalescents J Koskela Statistical applications in genetics and molecular biology 17 (3), 2018	27	2018
Bayesian inference of ancestral recombination graphs A Mahmoudi, J Koskela, J Kelleher, Y Chan, D Balding PLOS Computational Biology 18 (3), e1009960, 2022	21	2022
Asymptotic genealogies of interacting particle systems with an application to sequential Monte Carlo J Koskela, PA Jenkins, AM Johansen, D Spano	21	2020
Robust model selection between population growth and multiple merger coalescents J Koskela, MW Berenguer Mathematical biosciences 311, 1-12, 2019	21	2019
Sweepstakes reproductive success via pervasive and recurrent selective sweeps E Árnason, J Koskela, K Halldórsdóttir, B Eldon Elife 12, e80781, 2023	20	2023
Computational inference beyond Kingman's coalescent J Koskela, PA Jenkins, D Spano Journal of Applied Probability 52 (2), 519-537, 2015	19	2015
Statistical tools for seed bank detection J Blath, E Buzzoni, J Koskela, MW Berenguer Theoretical Population Biology 132, 1-15, 2020	15	2020
Consistency of Bayesian nonparametric inference for discretely observed jump diffusions J Koskela, D Spano, PA Jenkins Bernoulli 25 (3), 2183-2205, 2019	12	2019
A general and efficient representation of ancestral recombination graphs Y Wong, A Ignatieva, J Koskela, G Gorjanc, AW Wohns, J Kelleher Genetics 228 (1), iyae100, 2024	11	2024
Zig-zag sampling for discrete structures and nonreversible phylogenetic MCMC J Koskela Journal of Computational and Graphical Statistics 31 (3), 684-694, 2022	11	2022
Inference and rare event simulation for stopped Markov processes via reverse-time sequential Monte Carlo J Koskela, D Spano, PA Jenkins Statistics and Computing 28 (1), 131-144, 2018	9	2018
Simple conditions for convergence of sequential Monte Carlo genealogies with applications S Brown, PA Jenkins, AM Johansen, J Koskela	8	2021
The distribution of branch duration and detection of inversions in ancestral recombination graphs A Ignatieva, M Favero, J Koskela, J Sant, SR Myers BioRxiv, 2023.07. 11.548567, 2023	7	2023
EWF: simulating exact paths of the Wright–Fisher diffusion J Sant, PA Jenkins, J Koskela, D Spanò Bioinformatics 39 (1), btad017, 2023	7	2023
Bayesian non-parametric inference for -coalescents: Posterior consistency and a parametric method J Koskela, PA Jenkins, D Spanò	7	2018
Convergence of likelihood ratios and estimators for selection in nonneutral Wright–Fisher diffusions J Sant, P A. Jenkins, J Koskela, D Spanò Scandinavian Journal of Statistics 49 (4), 1728-1760, 2022	5*	2022
Bernoulli factories and duality in Wright–Fisher and Allen–Cahn models of population genetics J Koskela, K Łatuszyński, D Spanò Theoretical Population Biology 156, 40-45, 2024	3	2024
Weak convergence of non-neutral genealogies to Kingman’s coalescent S Brown, PA Jenkins, AM Johansen, J Koskela Stochastic Processes and their Applications 162, 76-105, 2023	3	2023
Bayesian Inference of Reproduction Number from Epidemiological and Genetic Data Using Particle MCMC A Gill, J Koskela, X Didelot, RG Everitt arXiv preprint arXiv:2311.09838, 2023	1	2023

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