Yves Atchade

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Gersende FortCNRS, Institut de Mathématiques de ToulouseVerified email at math.univ-toulouse.fr
Jeffrey S. RosenthalProfessor of Statistics, University of TorontoVerified email at math.toronto.edu
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesVerified email at polytechnique.edu
George MichailidisProfessor of Statistics and Computer ScienceVerified email at ufl.edu
Aaron A. KingN.G. Hairston Professor of Ecology, Evolutionary Biology, & Complex Systems, University of MichiganVerified email at umich.edu
Edward IonidesUniversity of Michigan, Department of StatisticsVerified email at umich.edu
Jun S LiuProfessor of statistics, Harvard UniversityVerified email at stat.harvard.edu
Dao NguyenUniversity of Mississippi, Oxford, MS 38677Verified email at olemiss.edu
Francois PerronProfessor in probability and statistics, Université de MontréalVerified email at dms.umontreal.ca
Sandipan RoyAssociate Professor, University of BathVerified email at umich.edu
Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
Pierre E. JacobESSEC Business SchoolVerified email at essec.edu
Stilian StoevProfessor of Statistics, University of Michigan, Ann ArborVerified email at umich.edu
Gareth RobertsProfessor of Statistics, University of WarwickVerified email at warwick.ac.uk
Christian RobertUniversité Paris Dauphine, PSL & University of WarwickVerified email at ceremade.dauphine.fr

Yves Atchade

Professor of Statistics

Verified email at bu.edu


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On adaptive markov chain monte carlo algorithms YF Atchadé, JS Rosenthal Bernoulli 11 (5), 815-828, 2005	483	2005
An adaptive version for the Metropolis adjusted Langevin algorithm with a truncated drift YF Atchadé Methodology and Computing in applied Probability 8, 235-254, 2006	207	2006
Unbiased Markov chain Monte Carlo methods with couplings PE Jacob, J O’Leary, YF Atchadé Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020	204*	2020
Iterated filtering EL Ionides, A Bhadra, Y Atchadé, A King The Annals of Statistics, 1776-1802, 2011	203	2011
Inference for dynamic and latent variable models via iterated, perturbed Bayes maps EL Ionides, D Nguyen, Y Atchadé, S Stoev, AA King Proceedings of the National Academy of Sciences 112 (3), 719-724, 2015	192	2015
On perturbed proximal gradient algorithms YF Atchadé, G Fort, E Moulines Journal of Machine Learning Research 18 (10), 1-33, 2017	171*	2017
On Russian roulette estimates for Bayesian inference with doubly-intractable likelihoods AM Lyne, M Girolami, Y Atchadé, H Strathmann, D Simpson	159*	2015
Towards optimal scaling of Metropolis-coupled Markov chain Monte Carlo YF Atchadé, GO Roberts, JS Rosenthal Statistics and Computing 21, 555-568, 2011	137	2011
Adaptive Markov chain Monte Carlo: theory and methods Y Atchade, G Fort, E Moulines, P Priouret Bayesian time series models 1, 2011	89	2011
Change point estimation in high dimensional Markov random-field models S Roy, Y Atchadé, G Michailidis Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017	75	2017
Limit theorems for some adaptive MCMC algorithms with subgeometric kernels Y Atchadé, G Fort	73	2010
The Wang-Landau algorithm in general state spaces: applications and convergence analysis YF Atchadé, JS Liu Statistica Sinica, 209-233, 2010	70	2010
On the efficiency of adaptive MCMC algorithms C Andrieu, YF Atchadé Proceedings of the 1st international conference on Performance evaluation …, 2006	67	2006
Bayesian computation for statistical models with intractable normalizing constants YF Atchadé, N Lartillot, C Robert	60	2013
Modeling choice interdependence in a social network J Wang, A Aribarg, YF Atchadé Marketing Science 32 (6), 977-997, 2013	54	2013
The Wang-Landau algorithm for Monte Carlo computation in general state spaces YF Atchade, JS Liu Statistica Sinica 20, 209-233, 2004	42	2004
A computational framework for empirical Bayes inference YF Atchadé Statistics and computing 21, 463-473, 2011	41	2011
Improving on the independent Metropolis-Hastings algorithm YF Atchadé, F Perron Statistica Sinica, 3-18, 2005	33	2005
Sequential change-point detection in high-dimensional gaussian graphical models H Keshavarz, G Michailidis, Y Atchade arXiv preprint arXiv:1806.07870, 2018	31	2018
Change-point computation for large graphical models: A scalable algorithm for Gaussian graphical models with change-points L Bybee, Y Atchadé Journal of Machine Learning Research 19 (11), 1-38, 2018	28*	2018

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