Pierre E. Jacob 个人学术档案

引用次数

	总计	2019 年至今
引用	2453	1834
h 指数	25	24
i10 指数	38	34

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Christian RobertUniversité Paris Dauphine, PSL & University of Warwick在 ceremade.dauphine.fr 的电子邮件经过验证
Anthony LeeSchool of Mathematics, University of Bristol在 bristol.ac.uk 的电子邮件经过验证
Jeremy HengAssistant Professor of Statistics, ESSEC Business School在 essec.edu 的电子邮件经过验证
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMind在 stats.ox.ac.uk 的电子邮件经过验证
Niloy BiswasHarvard University在 g.harvard.edu 的电子邮件经过验证
Aimee R TaylorInstitut Pasteur在 pasteur.fr 的电子邮件经过验证
Thomas SchönProfessor, Uppsala University在 it.uu.se 的电子邮件经过验证
Yves AtchadeProfessor of Statistics在 bu.edu 的电子邮件经过验证
George DeligiannidisAssociate Professor in Statistics, University of Oxford在 stats.ox.ac.uk 的电子邮件经过验证
Guanyang WangRutgers University在 rutgers.edu 的电子邮件经过验证
Nianqiao P. JuPurdue University, Department of Statistics在 purdue.edu 的电子邮件经过验证
Umut SimsekliINRIA - École Normale Supérieure在 inria.fr 的电子邮件经过验证
Alain DurmusEcole polytechnique在 polytechnique.edu 的电子邮件经过验证
Kimia NadjahiCNRS - ENS Paris在 di.ens.fr 的电子邮件经过验证
Robin J. RyderCEREMADE, Université Paris Dauphine在 ceremade.dauphine.fr 的电子邮件经过验证
Ruobin GongAssistant Professor of Statistics, Rutgers University在 stat.rutgers.edu 的电子邮件经过验证
AZA Stephen Allsop, MD, PhDAsst. Prof, Psychiatry, Yale University & Director, Center for Collective Healing, Howard University在 yale.edu 的电子邮件经过验证
randal douctelecom sudparis在 telecom-sudparis.eu 的电子邮件经过验证
Dootika VatsAssistant Professor, Indian Institute of Technology Kanpur在 iitk.ac.in 的电子邮件经过验证

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Pierre E. Jacob

ESSEC Business School

在 essec.edu 的电子邮件经过验证 - 首页

Monte Carlo Bayesian Statistics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	517	2013
Parallel resampling in the particle filter LM Murray, A Lee, PE Jacob Journal of Computational and Graphical Statistics 25 (3), 789-805, 2016	198	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	159	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	143	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	111	2019
Better together? Statistical learning in models made of modules PE Jacob, LM Murray, CC Holmes, CP Robert arXiv preprint arXiv:1708.08719, 2017	91	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	68	2011
Smoothing with couplings of conditional particle filters PE Jacob, F Lindsten, TB Schön Journal of the American Statistical Association, 1-32, 2018	63	2018
Estimating relatedness between malaria parasites AR Taylor, PE Jacob, DE Neafsey, CO Buckee Genetics 212 (4), 1337-1351, 2019	54	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
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	52	2022
Schr\" odinger Bridge Samplers E Bernton, J Heng, A Doucet, PE Jacob arXiv preprint arXiv:1912.13170, 2019	48	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	48	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	45	2019
Adaptive tuning of Hamiltonian Monte Carlo within sequential Monte Carlo A Buchholz, N Chopin, PE Jacob Bayesian Analysis, 2021	39	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	35	2021

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