Pierre E. Jacob

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Christian RobertUniversité Paris Dauphine, PSL & University of WarwickVerified email at ceremade.dauphine.fr
Jeremy HengAssistant Professor of Statistics, ESSEC Business SchoolVerified email at essec.edu
Anthony LeeSchool of Mathematics, University of BristolVerified email at bristol.ac.uk
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Niloy BiswasHarvard UniversityVerified email at g.harvard.edu
Aimee R TaylorInstitut PasteurVerified email at pasteur.fr
Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
Yves AtchadeProfessor of StatisticsVerified email at bu.edu
George DeligiannidisProfessor of Statistics, University of OxfordVerified email at stats.ox.ac.uk
Nianqiao P. JuPurdue University, Department of StatisticsVerified email at purdue.edu
Umut SimsekliINRIA - École Normale SupérieureVerified email at inria.fr
Alain DurmusEcole polytechniqueVerified email at polytechnique.edu
Kimia NadjahiCNRS - ENS ParisVerified email at di.ens.fr
Robin J. RyderImperial College LondonVerified email at imperial.ac.uk
Guanyang WangRutgers UniversityVerified email at rutgers.edu
AZA Stephen Allsop, MD, PhDAsst. Prof, Psychiatry, Yale University & Director, Center for Collective Healing, Howard UniversityVerified email at yale.edu
Ruobin GongAssociate Professor of Statistics, Rutgers UniversityVerified email at stat.rutgers.edu
randal douctelecom sudparisVerified email at telecom-sudparis.eu
Dootika VatsAssociate Professor, Indian Institute of Technology KanpurVerified email at iitk.ac.in

Pierre E. Jacob

ESSEC Business School

Verified email at essec.edu - Homepage

Monte Carlo Bayesian Statistics


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SMC^2: an efficient algorithm for sequential analysis of state-space models N Chopin, PE Jacob, O Papaspiliopoulos Journal of the Royal Statistical Society: Series B 75 (3), 397–426, 2013	514	2013
Parallel resampling in the particle filter LM Murray, A Lee, PE Jacob Journal of Computational and Graphical Statistics 25 (3), 789-805, 2016	201	2016
Approximate Bayesian computation with the Wasserstein distance E Bernton, PE Jacob, M Gerber, CP Robert Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2019	164	2019
Unbiased Markov chain Monte Carlo methods with couplings PE Jacob, J O’Leary, YF Atchadé Journal of the Royal Statistical Society Series B 82 (3), 543-600, 2020	148	2020
On parameter estimation with the Wasserstein distance E Bernton, PE Jacob, M Gerber, CP Robert Information and Inference: A Journal of the IMA 8 (4), 657-676, 2019	116	2019
Better together? Statistical learning in models made of modules PE Jacob, LM Murray, CC Holmes, CP Robert arXiv preprint arXiv:1708.08719, 2017	97	2017
On non-negative unbiased estimators PE Jacob, AH Thiery Annals of Statistics 43 (2), 769-784, 2015	86	2015
Inference in generative models using the Wasserstein distance E Bernton, PE Jacob, M Gerber, CP Robert arXiv preprint arXiv:1701.05146, 2017	83	2017
Unbiased Hamiltonian Monte Carlo with couplings J Heng, PE Jacob Biometrika 106 (2), 287-302, 2019	73	2019
Path storage in the particle filter PE Jacob, LM Murray, S Rubenthaler Statistics and Computing 25 (2), 487-496, 2013	70	2013
Using Parallel Computation to Improve Independent Metropolis–Hastings Based Estimation PE Jacob, CP Robert, MH Smith Journal of Computational and Graphical Statistics 20 (3), 616-635, 2011	69	2011
Smoothing with couplings of conditional particle filters PE Jacob, F Lindsten, TB Schön Journal of the American Statistical Association, 1-32, 2018	66	2018
Estimating relatedness between malaria parasites AR Taylor, PE Jacob, DE Neafsey, CO Buckee Genetics 212 (4), 1337-1351, 2019	63	2019
An invitation to sequential Monte Carlo samplers C Dai, J Heng, PE Jacob, N Whiteley Journal of the American Statistical Association 117 (539), 1587-1600, 2022	61	2022
An Adaptive Interacting Wang-Landau Algorithm for Automatic Density Exploration L Bornn, PE Jacob, P Del Moral, A Doucet Journal of Computational and Graphical Statistics 22 (3), 749-773, 2013	53	2013
Schr\" odinger Bridge Samplers E Bernton, J Heng, A Doucet, PE Jacob arXiv preprint arXiv:1912.13170, 2019	51	2019
Estimating convergence of Markov chains with L-lag couplings N Biswas, PE Jacob, P Vanetti Advances in Neural Information Processing Systems, 7391-7401, 2019	51	2019
Bayesian model comparison with the Hyvärinen score: Computation and consistency S Shao, PE Jacob, J Ding, V Tarokh Journal of the American Statistical Association 114 (528), 1826-1837, 2019	47	2019
Adaptive tuning of Hamiltonian Monte Carlo within sequential Monte Carlo A Buchholz, N Chopin, PE Jacob Bayesian Analysis, 2021	41	2021
Unbiased Markov chain Monte Carlo for intractable target distributions L Middleton, G Deligiannidis, A Doucet, PE Jacob Electronic Journal of Statistics 14 (2), 2842-2891, 2020	35	2020

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