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Jere Koskela
Jere Koskela
Reader, School of Mathematics, Statistics and Physics, Newcastle University
Verified email at newcastle.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
1312022
Multi-locus data distinguishes between population growth and multiple merger coalescents
J Koskela
Statistical applications in genetics and molecular biology 17 (3), 2018
262018
Robust model selection between population growth and multiple merger coalescents
J Koskela, MW Berenguer
Mathematical biosciences 311, 1-12, 2019
202019
Computational inference beyond Kingman's coalescent
J Koskela, PA Jenkins, D Spano
Journal of Applied Probability 52 (2), 519-537, 2015
202015
Asymptotic genealogies of interacting particle systems with an application to sequential Monte Carlo
J Koskela, PA Jenkins, AM Johansen, D Spano
192020
Sweepstakes reproductive success via pervasive and recurrent selective sweeps
E Árnason, J Koskela, K Halldórsdóttir, B Eldon
Elife 12, e80781, 2023
162023
Bayesian inference of ancestral recombination graphs
A Mahmoudi, J Koskela, J Kelleher, Y Chan, D Balding
PLOS Computational Biology 18 (3), e1009960, 2022
142022
Statistical tools for seed bank detection
J Blath, E Buzzoni, J Koskela, MW Berenguer
Theoretical Population Biology 132, 1-15, 2020
132020
Consistency of Bayesian nonparametric inference for discretely observed jump diffusions
J Koskela, D Spano, PA Jenkins
Bernoulli 25 (3), 2183-2205, 2019
122019
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
Zig-Zag sampling for discrete structures and nonreversible phylogenetic MCMC
J Koskela
Journal of Computational and Graphical Statistics 31 (3), 684-694, 2022
82022
Bayesian non-parametric inference for -coalescents: Posterior consistency and a parametric method
J Koskela, PA Jenkins, D Spanò
82018
Simple conditions for convergence of sequential Monte Carlo genealogies with applications
S Brown, PA Jenkins, AM Johansen, J Koskela
72021
A general and efficient representation of ancestral recombination graphs
Y Wong, A Ignatieva, J Koskela, G Gorjanc, AW Wohns, J Kelleher
bioRxiv, 2023
52023
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
52023
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
4*2022
EWF: simulating exact paths of the Wright–Fisher diffusion
J Sant, PA Jenkins, J Koskela, D Spanò
Bioinformatics 39 (1), btad017, 2023
32023
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
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
12024
Consistency and intractable likelihood for jump diffusions and generalised coalescent processes
J Koskela
Ph. D. thesis, University of Warwick, 2016
12016
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