Jere Koskela

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Paul JenkinsDepartments of Statistics & Computer Science, University of WarwickVerified email at warwick.ac.uk
Jaromir SantUniversita di TorinoVerified email at unito.it
Adam M. JohansenUniversity of WarwickVerified email at warwick.ac.uk
Anastasia IgnatievaDepartment of Statistics, University 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
Yao-ban ChanThe University of MelbourneVerified email at unimelb.edu.au
Martina FaveroStockholm UniversityVerified email at math.su.se
Xavier DidelotUniversity of WarwickVerified email at warwick.ac.uk
Bjarki EldonVisiting researcher, Museum of Natural History, Berlin, GermanyVerified email at mfn-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
Richard G. EverittUniversity of WarwickVerified email at warwick.ac.uk
Krzysztof LatuszynskiUniversity of Warwick, Department of StatisticsVerified email at warwick.ac.uk
Alicia GillUniversity of OxfordVerified email at ndm.ox.ac.uk
David HelekalPostdoc, Harvard T.H. Chan School of Public HealthVerified email at hsph.harvard.edu
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	286	2022
Multi-locus data distinguishes between population growth and multiple merger coalescents J Koskela Statistical applications in genetics and molecular biology 17 (3), 20170011, 2018	30	2018
Bayesian inference of ancestral recombination graphs A Mahmoudi, J Koskela, J Kelleher, Y Chan, D Balding PLOS Computational Biology 18 (3), e1009960, 2022	26	2022
Sweepstakes reproductive success via pervasive and recurrent selective sweeps E Árnason, J Koskela, K Halldórsdóttir, B Eldon Elife 12, e80781, 2023	25	2023
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	24	2024
Robust model selection between population growth and multiple merger coalescents J Koskela, MW Berenguer Mathematical biosciences 311, 1-12, 2019	23	2019
Asymptotic genealogies of interacting particle systems with an application to sequential Monte Carlo J Koskela, PA Jenkins, AM Johansen, D Spano	22	2020
Computational inference beyond Kingman's coalescent J Koskela, PA Jenkins, D Spano Journal of Applied Probability 52 (2), 519-537, 2015	20	2015
Statistical tools for seed bank detection J Blath, E Buzzoni, J Koskela, MW Berenguer Theoretical Population Biology 132, 1-15, 2020	17	2020
Zig-zag sampling for discrete structures and nonreversible phylogenetic MCMC J Koskela Journal of Computational and Graphical Statistics 31 (3), 684-694, 2022	12	2022
Consistency of Bayesian nonparametric inference for discretely observed jump diffusions J Koskela, D Spano, PA Jenkins Bernoulli 25 (3), 2183-2205, 2019	11	2019
The distribution of branch duration and detection of inversions in ancestral recombination graphs A Ignatieva, M Favero, J Koskela, J Sant, SR Myers	10	2023
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
EWF: simulating exact paths of the Wright–Fisher diffusion J Sant, PA Jenkins, J Koskela, D Spanò Bioinformatics 39 (1), btad017, 2023	8	2023
Simple conditions for convergence of sequential Monte Carlo genealogies with applications S Brown, PA Jenkins, AM Johansen, J Koskela	8	2021
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	6*	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	4	2024
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	3	2023
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

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