Pierre E. Jacob

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Christian RobertUniversité Paris Dauphine, PSL & University of WarwickEmail verificata su ceremade.dauphine.fr
Jeremy HengAssistant Professor of Statistics, ESSEC Business SchoolEmail verificata su essec.edu
Anthony LeeSchool of Mathematics, University of BristolEmail verificata su bristol.ac.uk
Arnaud DoucetGoogle DeepMindEmail verificata su google.com
Yves AtchadeProfessor of StatisticsEmail verificata su bu.edu
George (Yorgos) DeligiannidisProfessor of Statistics, University of OxfordEmail verificata su stats.ox.ac.uk
Niloy BiswasHarvard UniversityEmail verificata su g.harvard.edu
Aimee R TaylorInstitut PasteurEmail verificata su pasteur.fr
Thomas SchönProfessor, Uppsala UniversityEmail verificata su it.uu.se
Guanyang WangRutgers UniversityEmail verificata su rutgers.edu
Nianqiao P. JuPurdue University, Department of StatisticsEmail verificata su purdue.edu
Umut SimsekliINRIA - École Normale SupérieureEmail verificata su inria.fr
Alain DurmusEcole polytechniqueEmail verificata su polytechnique.edu
Kimia NadjahiCNRS - ENS ParisEmail verificata su di.ens.fr
Robin J. RyderImperial College LondonEmail verificata su imperial.ac.uk
AZA Stephen Allsop, MD, PhDAsst. Prof, Psychiatry, Yale University & Director, Center for Collective Healing, Howard UniversityEmail verificata su yale.edu
Ruobin GongAssociate Professor of Statistics, Rutgers UniversityEmail verificata su stat.rutgers.edu
randal douctelecom sudparisEmail verificata su telecom-sudparis.eu
Dootika VatsAssociate Professor, Indian Institute of Technology KanpurEmail verificata su iitk.ac.in
El Mahdi KhribchPhD student Essec Business SchoolEmail verificata su essec.edu

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Pierre E. Jacob

ESSEC Business School

Email verificata su essec.edu - Home page

Monte Carlo Bayesian Statistics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	526	2013
Parallel resampling in the particle filter LM Murray, A Lee, PE Jacob Journal of Computational and Graphical Statistics 25 (3), 789-805, 2016	206	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	187	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	176	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	129	2019
Better together? Statistical learning in models made of modules PE Jacob, LM Murray, CC Holmes, CP Robert arXiv preprint arXiv:1708.08719, 2017	100	2017
Inference in generative models using the Wasserstein distance E Bernton, PE Jacob, M Gerber, CP Robert arXiv preprint arXiv:1701.05146, 2017	86	2017
On non-negative unbiased estimators PE Jacob, AH Thiery Annals of Statistics 43 (2), 769-784, 2015	86	2015
Unbiased Hamiltonian Monte Carlo with couplings J Heng, PE Jacob Biometrika 106 (2), 287-302, 2019	79	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	76	2022
Estimating relatedness between malaria parasites AR Taylor, PE Jacob, DE Neafsey, CO Buckee Genetics 212 (4), 1337-1351, 2019	73	2019
Path storage in the particle filter PE Jacob, LM Murray, S Rubenthaler Statistics and Computing 25 (2), 487-496, 2013	71	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	70	2011
Smoothing with couplings of conditional particle filters PE Jacob, F Lindsten, TB Schön Journal of the American Statistical Association, 1-32, 2018	68	2018
Estimating convergence of Markov chains with L-lag couplings N Biswas, PE Jacob, P Vanetti Advances in Neural Information Processing Systems, 7391-7401, 2019	59	2019
Schr\" odinger Bridge Samplers E Bernton, J Heng, A Doucet, PE Jacob arXiv preprint arXiv:1912.13170, 2019	58	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	54	2013
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	52	2019
Adaptive tuning of Hamiltonian Monte Carlo within sequential Monte Carlo A Buchholz, N Chopin, PE Jacob Bayesian Analysis, 2021	48	2021
Fast approximation of the sliced-wasserstein distance using concentration of random projections K Nadjahi, A Durmus, PE Jacob, R Badeau, U Simsekli Advances in Neural Information Processing Systems 34, 12411-12424, 2021	42	2021

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