2021

Brown, Suzie, Jenkins, Paul, Johansen, Adam M. and Koskela, Jere (2021) Simple conditions for convergence of sequential Monte Carlo genealogies with applications. Electronic Journal of Probability, 26 . 1. doi:10.1214/20-EJP561

2020

Blath, Jochen, Buzzoni, Eugenio, Koskela, Jere and Wilke-Berenguer, Maite (2020) Statistical tools for seed bank detection. Theoretical Population Biology, 132 . pp. 1-15. doi:10.1016/j.tpb.2020.01.001

Koskela, Jere, Jenkins, Paul, Johansen, Adam M. and Spanò, Dario (2020) Asymptotic genealogies of interacting particle systems with an application to sequential Monte Carlo. Annals of statistics, 48 (1). pp. 560-583. doi:10.1214/19-AOS1823

2019

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

2018

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

2016

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

2015

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.