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Jere Koskela
Jere Koskela
Associate Professor, Department of Statistics, University of Warwick
Verified email at warwick.ac.uk - Homepage
Title
Cited by
Cited by
Year
Efficient ancestry and mutation simulation with msprime 1.0
F Baumdicker, G Bisschop, D Goldstein, G Gower, AP Ragsdale, ...
Genetics 220 (3), iyab229, 2022
532022
Multi-locus data distinguishes between population growth and multiple merger coalescents
J Koskela
Statistical applications in genetics and molecular biology 17 (3), 2018
212018
Computational inference beyond Kingman's coalescent
J Koskela, PA Jenkins, D Spano
Journal of Applied Probability 52 (2), 519-537, 2015
202015
Robust model selection between population growth and multiple merger coalescents
J Koskela, MW Berenguer
Mathematical biosciences 311, 1-12, 2019
182019
Asymptotic genealogies of interacting particle systems with an application to sequential Monte Carlo
J Koskela, PA Jenkins, AM Johansen, D Spano
172020
Statistical tools for seed bank detection
J Blath, E Buzzoni, J Koskela, MW Berenguer
Theoretical Population Biology 132, 1-15, 2020
112020
Consistency of Bayesian nonparametric inference for discretely observed jump diffusions
J Koskela, D Spano, PA Jenkins
Bernoulli 25 (3), 2183-2205, 2019
102019
Zig-zag sampling for discrete structures and nonreversible phylogenetic mcmc
J Koskela
Journal of Computational and Graphical Statistics 31 (3), 684-694, 2022
92022
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
92018
Simple conditions for convergence of sequential Monte Carlo genealogies with applications
S Brown, PA Jenkins, AM Johansen, J Koskela
82021
Bayesian non-parametric inference for -coalescents: Posterior consistency and a parametric method
J Koskela, PA Jenkins, D Span˛
72018
Sweepstakes reproductive success via pervasive and recurrent selective sweeps
E ┴rnason, J Koskela, K Halldˇrsdˇttir, B Eldon
Elife 12, e80781, 2023
62023
Convergence of likelihood ratios and estimators for selection in nonneutral Wright–Fisher diffusions
J Sant, P A. Jenkins, J Koskela, D Span˛
Scandinavian Journal of Statistics 49 (4), 1728-1760, 2022
3*2022
Bayesian inference of ancestral recombination graphs
A Mahmoudi, J Koskela, J Kelleher, Y Chan, D Balding
PLOS Computational Biology 18 (3), e1009960, 2022
32022
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
22023
EWF: simulating exact paths of the Wright–Fisher diffusion
J Sant, PA Jenkins, J Koskela, D Span˛
Bioinformatics 39 (1), btad017, 2023
12023
Consistency and intractable likelihood for jump diffusions and generalised coalescent processes
J Koskela
Ph. D. thesis, University of Warwick, 2016
12016
Student Engagement Final Report: Shaping History
P Taylor, J Koskela, G Lee
The Higher Education Academy. York: UK, 2011
12011
Diffusion Limits at Small Times for Coalescent Processes with Mutation and Selection
PA Hanson, PA Jenkins, J Koskela, D Span˛
arXiv preprint arXiv:2012.10316, 2020
2020
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