Pierre E. Jacob

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Christian RobertUniversité Paris Dauphine, PSL & University of WarwickPatvirtintas el. paštas ceremade.dauphine.fr
Jeremy HengAssistant Professor of Statistics, ESSEC Business SchoolPatvirtintas el. paštas essec.edu
Anthony LeeSchool of Mathematics, University of BristolPatvirtintas el. paštas bristol.ac.uk
Arnaud DoucetGoogle DeepMindPatvirtintas el. paštas google.com
Yves AtchadeProfessor of StatisticsPatvirtintas el. paštas bu.edu
George (Yorgos) DeligiannidisProfessor of Statistics, University of OxfordPatvirtintas el. paštas stats.ox.ac.uk
Niloy BiswasHarvard UniversityPatvirtintas el. paštas g.harvard.edu
Aimee R TaylorInstitut PasteurPatvirtintas el. paštas pasteur.fr
Thomas SchönProfessor, Uppsala UniversityPatvirtintas el. paštas it.uu.se
Guanyang WangRutgers UniversityPatvirtintas el. paštas rutgers.edu
Nianqiao P. JuPurdue University, Department of StatisticsPatvirtintas el. paštas purdue.edu
Umut SimsekliINRIA - École Normale SupérieurePatvirtintas el. paštas inria.fr
Alain DurmusEcole polytechniquePatvirtintas el. paštas polytechnique.edu
Kimia NadjahiCNRS - ENS ParisPatvirtintas el. paštas di.ens.fr
Robin J. RyderImperial College LondonPatvirtintas el. paštas imperial.ac.uk
AZA Stephen Allsop, MD, PhDAsst. Prof, Psychiatry, Yale University & Director, Center for Collective Healing, Howard UniversityPatvirtintas el. paštas yale.edu
Ruobin GongAssociate Professor of Statistics, Rutgers UniversityPatvirtintas el. paštas stat.rutgers.edu
randal douctelecom sudparisPatvirtintas el. paštas telecom-sudparis.eu
Dootika VatsAssociate Professor, Indian Institute of Technology KanpurPatvirtintas el. paštas iitk.ac.in
El Mahdi KhribchPhD student Essec Business SchoolPatvirtintas el. paštas essec.edu

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Pierre E. Jacob

ESSEC Business School

Patvirtintas el. paštas essec.edu - Pagrindinis puslapis

Monte Carlo Bayesian Statistics


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	524	2013
Parallel resampling in the particle filter LM Murray, A Lee, PE Jacob Journal of Computational and Graphical Statistics 25 (3), 789-805, 2016	205	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	186	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
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	85	2017
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	74	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	51	2019
Adaptive tuning of Hamiltonian Monte Carlo within sequential Monte Carlo A Buchholz, N Chopin, PE Jacob Bayesian Analysis, 2021	48	2021
Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study N Kishore, AR Taylor, PE Jacob, N Vembar, T Cohen, CO Buckee, ... The Lancet Digital Health 4 (1), e27-e36, 2022	41	2022

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