Yves Atchade

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Gersende FortCNRS, Institut de Mathématiques de ToulousePatvirtintas el. paštas math.univ-toulouse.fr
Jeffrey S. RosenthalProfessor of Statistics, University of TorontoPatvirtintas el. paštas math.toronto.edu
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesPatvirtintas el. paštas polytechnique.edu
George MichailidisProfessor of Statistics and Computer SciencePatvirtintas el. paštas ufl.edu
Aaron A. KingN.G. Hairston Professor of Ecology, Evolutionary Biology, & Complex Systems, University of MichiganPatvirtintas el. paštas umich.edu
Edward IonidesUniversity of Michigan, Department of StatisticsPatvirtintas el. paštas umich.edu
Jun S LiuProfessor of statistics, Harvard UniversityPatvirtintas el. paštas stat.harvard.edu
Dao NguyenUniversity of Mississippi, Oxford, MS 38677Patvirtintas el. paštas olemiss.edu
Francois PerronProfessor in probability and statistics, Université de MontréalPatvirtintas el. paštas dms.umontreal.ca
Sandipan RoyAssociate Professor, University of BathPatvirtintas el. paštas umich.edu
Pierre E. JacobESSEC Business SchoolPatvirtintas el. paštas essec.edu
Mark GirolamiUniversity of CambridgePatvirtintas el. paštas cam.ac.uk
Stilian StoevProfessor of Statistics, University of Michigan, Ann ArborPatvirtintas el. paštas umich.edu
Gareth RobertsProfessor of Statistics, University of WarwickPatvirtintas el. paštas warwick.ac.uk
Christian RobertUniversité Paris Dauphine, PSL & University of WarwickPatvirtintas el. paštas ceremade.dauphine.fr

Stebėti

Yves Atchade

Professor of Statistics

Patvirtintas el. paštas bu.edu


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
On adaptive markov chain monte carlo algorithms YF Atchadé, JS Rosenthal Bernoulli 11 (5), 815-828, 2005	490	2005
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	217*	2020
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	210	2006
Iterated filtering EL Ionides, A Bhadra, Y Atchadé, A King The Annals of Statistics, 1776-1802, 2011	204	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	198	2015
On perturbed proximal gradient algorithms YF Atchadé, G Fort, E Moulines Journal of Machine Learning Research 18 (10), 1-33, 2017	177*	2017
On Russian roulette estimates for Bayesian inference with doubly-intractable likelihoods AM Lyne, M Girolami, Y Atchadé, H Strathmann, D Simpson	161*	2015
Towards optimal scaling of Metropolis-coupled Markov chain Monte Carlo YF Atchadé, GO Roberts, JS Rosenthal Statistics and Computing 21, 555-568, 2011	144	2011
Adaptive Markov chain Monte Carlo: theory and methods Y Atchade, G Fort, E Moulines, P Priouret Bayesian time series models 1, 2011	90	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	78	2017
Limit theorems for some adaptive MCMC algorithms with subgeometric kernels Y Atchadé, G Fort	77	2010
The Wang-Landau algorithm in general state spaces: applications and convergence analysis YF Atchadé, JS Liu Statistica Sinica, 209-233, 2010	72	2010
On the efficiency of adaptive MCMC algorithms C Andrieu, YF Atchadé Proceedings of the 1st international conference on Performance evaluation …, 2006	68	2006
Bayesian computation for statistical models with intractable normalizing constants YF Atchadé, N Lartillot, C Robert	61	2013
Modeling choice interdependence in a social network J Wang, A Aribarg, YF Atchadé Marketing Science 32 (6), 977-997, 2013	55	2013
The Wang-Landau algorithm for Monte Carlo computation in general state spaces YF Atchade, JS Liu Statistica Sinica 20, 209-233, 2004	43	2004
A computational framework for empirical Bayes inference YF Atchadé Statistics and computing 21, 463-473, 2011	42	2011
Sequential change-point detection in high-dimensional gaussian graphical models H Keshavarz, G Michailidis, Y Atchade arXiv preprint arXiv:1806.07870, 2018	33	2018
Improving on the independent Metropolis-Hastings algorithm YF Atchadé, F Perron Statistica Sinica, 3-18, 2005	32	2005
On the geometric ergodicity of Metropolis-Hastings algorithms YF Atchadé, F Perron Statistics 41 (1), 77-84, 2007	30	2007

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