Paul Jenkins

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Jere KoskelaAssociate Professor, Department of Statistics, University of WarwickVerified email at warwick.ac.uk
Jotun HeinUniversity of OxfordVerified email at stats.ox.ac.uk
Robert C. GriffithsAdjunct Professor Monash University; Emeritus Professor, University of OxfordVerified email at monash.edu
Valerio PerroneApplied Science Manager, AmazonVerified email at amazon.com
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Anastasia IgnatievaDepartment of Statistics, University of OxfordVerified email at stats.ox.ac.uk
Gareth RobertsProfessor of Statistics, University of WarwickVerified email at warwick.ac.uk
Adam M. JohansenUniversity of WarwickVerified email at warwick.ac.uk
Jeffrey P. SpenceStanford UniversityVerified email at stanford.edu
Sara MathiesonHaverford CollegeVerified email at haverford.edu
Paul FearnheadProfessor of Statistics; Lancaster UniversityVerified email at lancs.ac.uk
Murray PollockNewcastle UniversityVerified email at newcastle.ac.uk
Sabin LessardUniversité de MontréalVerified email at umontreal.ca
Jonas MuellerCleanlabVerified email at csail.mit.edu
Jayna RaghwaniUniversity of OxfordVerified email at zoo.ox.ac.uk
Astrid GallEMBO, Heidelberg, GermanyVerified email at embo.org
Paul KellamImperial College London & Kymab LtdVerified email at imperial.ac.uk
Lasse MarettyAarhus UniversityVerified email at clin.au.dk
Jonas Andreas SibbesenCenter for Health Data Science, University of CopenhagenVerified email at sund.ku.dk
Oliver PybusUniversity of Oxford / Royal Veterinary CollegeVerified email at zoo.ox.ac.uk

Paul Jenkins

Departments of Statistics & Computer Science, University of Warwick

Verified email at warwick.ac.uk

Population genetics Monte Carlo diffusion processes data science


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Genome-wide fine-scale recombination rate variation in Drosophila melanogaster AH Chan, PA Jenkins, YS Song PLoS Genetics 8 (12), e1003090, 2012	209	2012
A likelihood-free inference framework for population genetic data using exchangeable neural networks J Chan, V Perrone, J Spence, P Jenkins, S Mathieson, Y Song Advances in neural information processing systems 31, 2018	53	2018
Poisson random fields for dynamic feature models V Perrone, PA Jenkins, D Spano, YW Teh The Journal of Machine Learning Research, 2017	47	2017
Exact simulation of the Wright–Fisher diffusion PA Jenkins, D Spano The Annals of Applied Probability 27 (3), 1478-1509, 2017	42	2017
Importance sampling and the two-locus model with subdivided population structure RC Griffiths, PA Jenkins, YS Song Advances in applied probability 40 (2), 473, 2008	40	2008
The effect of recurrent mutation on the frequency spectrum of a segregating site and the age of an allele PA Jenkins, YS Song Theoretical population biology 80 (2), 158-173, 2011	31	2011
General triallelic frequency spectrum under demographic models with variable population size PA Jenkins, JW Mueller, YS Song Genetics 196 (1), 295-311, 2014	30	2014
An asymptotic sampling formula for the coalescent with recombination PA Jenkins, YS Song The annals of applied probability: an official journal of the Institute of …, 2010	26	2010
Closed-form two-locus sampling distributions: accuracy and universality PA Jenkins, YS Song Genetics 183 (3), 1087-1103, 2009	20	2009
Inference from samples of DNA sequences using a two-locus model PA Jenkins, RC Griffiths Journal of Computational Biology 18 (1), 109-127, 2011	19	2011
Computational inference beyond Kingman's coalescent J Koskela, P Jenkins, D Spano Journal of Applied Probability 52 (2), 519-537, 2015	18	2015
Tractable diffusion and coalescent processes for weakly correlated loci PA Jenkins, P Fearnhead, YS Song Electronic journal of probability 20, 2015	18*	2015
Padé approximants and exact two-locus sampling distributions PA Jenkins, YS Song The Annals of Applied Probability 22 (2), 576-607, 2012	18	2012
Ongoing recombination in SARS-CoV-2 revealed through genealogical reconstruction A Ignatieva, J Hein, PA Jenkins Molecular biology and evolution 39 (2), msac028, 2022	16*	2022
A coalescent dual process for a Wright–Fisher diffusion with recombination and its application to haplotype partitioning RC Griffiths, PA Jenkins, S Lessard Theoretical population biology 112, 126-138, 2016	13	2016
Coalescent inference using serially sampled, high-throughput sequencing data from intrahost HIV infection K Dialdestoro, JA Sibbesen, L Maretty, J Raghwani, A Gall, P Kellam, ... Genetics 202 (4), 1449-1472, 2016	12	2016
Asymptotic genealogies of interacting particle systems with an application to sequential Monte Carlo J Koskela, PA Jenkins, AM Johansen, D Spano The Annals of Statistics 48 (1), 560-583, 2020	11	2020
Exact simulation of the sample paths of a diffusion with a finite entrance boundary PA Jenkins arXiv preprint arXiv:1311.5777, 2013	11	2013
Genealogy-based methods for inference of historical recombination and gene flow and their application in Saccharomyces cerevisiae PA Jenkins, YS Song, RB Brem PloS one 7 (11), e46947, 2012	10	2012
Consistency of Bayesian nonparametric inference for discretely observed jump diffusions J Koskela, D Spano, PA Jenkins Bernoulli 25 (3), 2183-2205, 2019	9	2019

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