Pierre E. Jacob

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Christian RobertUniversité Paris Dauphine, PSL & University of WarwickVerified email at ceremade.dauphine.fr
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
Jeremy HengAssistant Professor of Statistics, ESSEC Business SchoolVerified email at essec.edu
Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
Pierre Del MoralResearch Director, INRIA Bordeaux - Sud OuestVerified email at inria.fr
George DeligiannidisAssociate Professor in Statistics, University of OxfordVerified email at stats.ox.ac.uk
Aimee TaylorHarvard T.H. Chan School of Public HealthVerified email at hsph.harvard.edu
Chris HolmesVerified email at stats.ox.ac.uk
Robin J. RyderCEREMADE, Université Paris DauphineVerified email at ceremade.dauphine.fr
Guanyang WangRutgers UniversityVerified email at rutgers.edu
Demba BaHarvardVerified email at seas.harvard.edu
Kay M TyeProfessor, Wylie Vale Chair, Salk Institute for Biological StudiesVerified email at salk.edu
Ruobin GongAssistant Professor of Statistics, Rutgers UniversityVerified email at stat.rutgers.edu
Alexander LinPhD Student, Harvard UniversityVerified email at seas.harvard.edu
Aguemon Yves AtchadeProfessor of Statistics, Boston UniversityVerified email at bu.edu

Pierre E. Jacob

Associate Professor, Department of Statistics, Harvard University

Verified email at fas.harvard.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	368*	2013
Parallel resampling in the particle filter LM Murray, A Lee, PE Jacob Journal of Computational and Graphical Statistics 25 (3), 789-805, 2016	118*	2016
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	74	2020
On non-negative unbiased estimators PE Jacob, AH Thiery Annals of Statistics 43 (2), 769-784, 2015	64	2015
Inference in generative models using the Wasserstein distance E Bernton, PE Jacob, M Gerber, CP Robert arXiv preprint arXiv:1701.05146, 2017	58	2017
Path storage in the particle filter PE Jacob, LM Murray, S Rubenthaler Statistics and Computing 25 (2), 487-496, 2013	55	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	55	2011
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	48	2019
Smoothing with couplings of conditional particle filters PE Jacob, F Lindsten, TB Schön Journal of the American Statistical Association, 1-32, 2018	37	2018
Better together? Statistical learning in models made of modules PE Jacob, LM Murray, CC Holmes, CP Robert arXiv preprint arXiv:1708.08719, 2017	37	2017
Unbiased Hamiltonian Monte Carlo with couplings J Heng, PE Jacob Biometrika 106 (2), 287-302, 2019	33	2019
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	33	2013
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	25	2019
Estimating relatedness between malaria parasites AR Taylor, PE Jacob, DE Neafsey, CO Buckee Genetics 212 (4), 1337-1351, 2019	22	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	19	2019
The Wang-Landau algorithm reaches the Flat Histogram criterion in finite time PE Jacob, RJ Ryder Annals of Applied Probability 24 (1), 34-53, 2014	19	2014
Derivative-Free Estimation of the Score Vector and Observed Information Matrix with Application to State-Space Models A Doucet, PE Jacob, S Rubenthaler arXiv preprint arXiv:1304.5768, 2013	19	2013
Bayesian inference in non-Markovian state-space models with applications to battery fractional-order systems PE Jacob, SMM Alavi, A Mahdi, SJ Payne, DA Howey IEEE Transactions on Control Systems Technology 26 (2), 497-506, 2017	18	2017
Coupling of Particle Filters PE Jacob, F Lindsten, TB Schön arXiv preprint arXiv:1606.01156, 2016	18	2016
Estimating convergence of Markov chains with L-lag couplings N Biswas, PE Jacob, P Vanetti Advances in Neural Information Processing Systems, 7391-7401, 2019	16	2019

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