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Dr Jere Koskela

I'm an assistant professor at the statistics department at Warwick. My research interests include Monte Carlo methods, statistical inference from stochastic processes and in settings with intractable likelihood, Bayesian nonparametric statistics, coalescent processes, and mathematical population genetics.

I am one of the organisers of the Warwick Statistics Internship Scheme. Illustrative project descriptions for undergraduate summer internships are available of the scheme website.

Teaching

In 2020/21 I am teaching ST341/ST418 Statistical Genetics.

Preprints

  • S Brown, P A Jenkins, A M Johansen, and J Koskela. Simple conditions for convergence of sequential Monte Carlo algorithms with applications. [arXiv]
  • J Koskela. Zig-zag sampling for discrete structures and non-reversible phylogenetic MCMC. [arXiv][GitHub]
  • J Sant, P A Jenkins, J Koskela, and D Spanò. Convergence of likelihood ratios and estimators for selection in non-neutral Wright-Fisher diffusions. [arXiv]

Publications

  • J Blath, E Buzzoni, J Koskela, and M Wilke Berenguer. Statistical tools for seed bank detection. Theoretical Population Biology 132:1-15, 2020 [TPB] [arXiv] [WRAP] [GitHub]
  • J Koskela, P A Jenkins, A M Johansen, and D Spanò. Asymptotic genealogies of interacting particle systems with an application to sequential Monte Carlo. Annals of Statistics 48(1):560-583, 2020 [AoS] [arXiv] [WRAP] *Note*: The published version contains an error in Lemma 1 that has been corrected in the arXiv version.
  • J Koskela, D Spanò, and P A Jenkins. Consistency of Bayesian nonparametric inference for discretely observed jump diffusions. Bernoulli 25(3):2183-2205, 2019 [Bernoulli] [arXiv] [WRAP]
  • J Koskela and M Wilke Berenguer. Robust model selection between population growth and multiple merger coalescents. Mathematical Biosciences 311:1-12, 2019 [MB] [arXiv] [WRAP] [GitHub]
  • J Koskela. Multi-locus data distinguishes between population growth and multiple merger coalescents. Statistical Applications in Genetics and Molecular Biology 17(3):20170011, 2018 [SAGMB] [arXiv] [WRAP] [GitHub]
  • J Koskela, P A Jenkins, and D Spanò. Bayesian nonparametric inference for Λ-coalescents: posterior consistency and a parametric method. Bernoulli 24(3):2122-2153, 2018 [Bernoulli] [arXiv] [WRAP]
  • J Koskela, D Spanò, and P A Jenkins. Inference and rare event simulation for stopped Markov processes via reverse-time sequential Monte Carlo. Statistics and Computing 28(1):131-144, 2018 [S&C] [arXiv] [WRAP]
  • J Koskela, P A Jenkins, and D Spanò. Computational inference beyond Kingman's coalescent. Journal of Applied Probability 52(2):519-537, 2015 [JAP] [arXiv] [WRAP]

Grants

Other grant involvement

  • Collaborator, Icelandic Centre for Research Grant of Excellence 185151-051, Population genomics of highly fecund codfish. PIs: Einar Arnason (corresponding PI, University of Iceland), Katrin Halldorsdottir (University of Iceland), Alison Etheridge (University of Oxford), Wolfgang Stephan (Berlin Natural History Museum), Bjarki Eldon (Berlin Natural History Museum).

Workshops and organisation

Biographical sketch

Research students

Prospective students should feel free to get in touch. See here for some illustrative ideas of directions for projects.

mugshot of me

Contact

Dr Jere Koskela
Department of Statistics
University of Warwick
Coventry, CV4 7AL
United Kingdom

Telephone

+44(0)24 7652 8068

Email

j dot koskela at warwick dot ac dot uk

For MORSE business: morse at warwick dot ac dot uk

Office

MB1.24

Term 1 online office hours

Wed 12.30-13.30
Thu 11.30-12.30

Office hours are taking place remotely for the time being. Feel free to email or message me on Teams between these times for a meeting. Meetings outside office hours are available by appointment.