Blath, Jochen, Buzzoni, Eugenio, Koskela, Jere and Wilke-Berenguer, Maite (2020) Statistical tools for seed bank detection. Theoretical Population Biology . (In Press)

Koskela, Jere, Spanò, Dario and Jenkins, Paul (2019) Consistency of Bayesian nonparametric inference for discretely observed jump diffusions. Bernoulli, 25 (3). pp. 2183-2205. doi:10.3150/18-BEJ1050

Koskela, Jere and Wilke Berenguer, Maite (2019) Robust model selection between population growth and multiple merger coalescents. Mathematical Biosciences, 311 . pp. 1-12. doi:10.1016/j.mbs.2019.03.004

Koskela, Jere, Jenkins, Paul, Johansen, Adam M. and Spanò, Dario (2019) Asymptotic genealogies of interacting particle systems with an application to sequential Monte Carlo. Annals of statistics . (In Press)

Koskela, Jere (2018) Multi-locus data distinguishes between population growth and multiple merger coalescents. Statistical Applications in Genetics and Molecular Biology, 17 (3). 20170011. doi:10.1515/sagmb-2017-0011

Koskela, Jere, Jenkins, Paul and Spanò, Dario (2018) Bayesian non-parametric inference for Λ-coalescents : posterior consistency and a parametric method. Bernoulli, 24 (3). pp. 2122-2153. doi:10.3150/16-BEJ923

Koskela, Jere, Spanò, Dario and Jenkins, Paul (2018) Inference and rare event simulation for stopped Markov processes via reverse-time sequential Monte Carlo. Statistics and Computing, 28 (1). pp. 131-144. doi:10.1007/s11222-017-9722-1

Koskela, Jere (2016) Consistency and intractable likelihood for jump diffusions and generalised coalescent processes. PhD thesis, University of Warwick.

Koskela, Jere, Jenkins, Paul and Spanò, Dario (2015) Computational inference beyond Kingman's coalescent. Journal of Applied Probability, Volume 52 (Number 2). pp. 519-537.