Anthony Lee

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Christophe AndrieuProfessor of Statistics, University of BristolE-mail confirmado em bristol.ac.uk
Arnaud DoucetGoogle DeepMindE-mail confirmado em google.com
Nick WhiteleyUniversity of BristolE-mail confirmado em bristol.ac.uk
Christopher DrovandiProfessor of Statistics, Queensland University of TechnologyE-mail confirmado em qut.edu.au
Lawrence MurrayUber AIE-mail confirmado em uber.com
Matti ViholaDepartment of Mathematics and Statistics, University of JyväskyläE-mail confirmado em jyu.fi
Chris HolmesE-mail confirmado em stats.ox.ac.uk
Christopher YauUniversity of OxfordE-mail confirmado em wrh.ox.ac.uk
Pierre E. JacobESSEC Business SchoolE-mail confirmado em essec.edu
Sumeetpal Sidhu SinghTibra Foundation Chair in Mathematical Sciences, School of Mathematics, University of WollongongE-mail confirmado em uow.edu.au
David NottAssociate Professor of Statistics, National University of SingaporeE-mail confirmado em nus.edu.sg
Andi Qi WangUniversity of WarwickE-mail confirmado em warwick.ac.uk
Samuel PowerLecturer of Statistical Science, University of BristolE-mail confirmado em bristol.ac.uk
Adam M. JohansenUniversity of WarwickE-mail confirmado em warwick.ac.uk
Ajay JasraProfessor of Data Science, The Chinese University of Hong Kong, ShenzhenE-mail confirmado em cuhk.edu.cn
Michael B. GilesProfessor of Scientific Computing, University of OxfordE-mail confirmado em maths.ox.ac.uk
Christian RobertUniversité Paris Dauphine, PSL & University of WarwickE-mail confirmado em ceremade.dauphine.fr
David S. LeslieProfessor of Statistical Learning, Lancaster UniversityE-mail confirmado em lancaster.ac.uk
Krzysztof LatuszynskiUniversity of Warwick, Department of StatisticsE-mail confirmado em warwick.ac.uk
Chris SherlockLancaster UniversityE-mail confirmado em lancaster.ac.uk

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Anthony Lee

School of Mathematics, University of Bristol

E-mail confirmado em bristol.ac.uk - Página inicial

Computational Statistics Sequential Monte Carlo Markov chain Monte Carlo Bayesian Inference


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
On the utility of graphics cards to perform massively parallel simulation of advanced Monte Carlo methods A Lee, C Yau, MB Giles, A Doucet, CC Holmes Journal of Computational and Graphical Statistics 19 (4), 769-789, 2010	379	2010
Bayesian synthetic likelihood LF Price, CC Drovandi, A Lee, DJ Nott Journal of Computational and Graphical Statistics 27 (1), 1-11, 2018	244	2018
Optimistic Bayesian Sampling in Contextual-Bandit Problems BC May, N Korda, A Lee, DS Leslie Journal of Machine Learning Research 13, 2069-2106, 2012	244	2012
Parallel resampling in the particle filter LM Murray, A Lee, PE Jacob Journal of Computational and Graphical Statistics 25 (3), 789-805, 2016	204	2016
The iterated auxiliary particle filter P Guarniero, AM Johansen, A Lee Journal of the American Statistical Association 112 (520), 1636-1647, 2017	118	2017
Bayesian indirect inference using a parametric auxiliary model CC Drovandi, AN Pettitt, A Lee	117	2015
Uniform ergodicity of the iterated conditional SMC and geometric ergodicity of particle Gibbs samplers C Andrieu, A Lee, M Vihola	105	2018
On the role of interaction in sequential Monte Carlo algorithms N Whiteley, A Lee, K Heine	85	2016
Variance estimation in the particle filter A Lee, N Whiteley Biometrika 105 (3), 609--625, 2018	68	2018
Twisted particle filters N Whiteley, A Lee	63	2014
Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computation A Lee, K Latuszynski Biometrika 101 (3), 655--671, 2014	62	2014
Accelerating Metropolis-Hastings algorithms by delayed acceptance M Banterle, C Grazian, A Lee, CP Robert arXiv preprint arXiv:1503.00996, 2015	60	2015
The alive particle filter and its use in particle Markov chain Monte Carlo PD Moral, A Jasra, A Lee, C Yau, X Zhang Stochastic Analysis and Applications 33 (6), 943-974, 2015	54*	2015
Global consensus Monte Carlo LJ Rendell, AM Johansen, A Lee, N Whiteley Journal of Computational and Graphical Statistics 30 (2), 249-259, 2020	53	2020
Stability of noisy Metropolis–Hastings FJ Medina-Aguayo, A Lee, GO Roberts Statistics and Computing 26 (6), 1187-1211, 2016	52	2016
A hierarchical bayesian framework for constructing sparsity-inducing priors A Lee, F Caron, A Doucet, C Holmes Arxiv preprint arXiv:1009.1914, 2010	44	2010
Coupled conditional backward sampling particle filter A Lee, SS Singh, M Vihola	39	2020
Pseudo-marginal Metropolis–Hastings sampling using averages of unbiased estimators C Sherlock, AH Thiery, A Lee Biometrika 104 (3), 727-734, 2017	37	2017
On the choice of MCMC kernels for approximate Bayesian computation with SMC samplers A Lee Proceedings of the 2012 Winter Simulation Conference (WSC), 1-12, 2012	35	2012
Forest resampling for distributed sequential Monte Carlo A Lee, N Whiteley Statistical Analysis and Data Mining: The ASA Data Science Journal 9 (4 …, 2016	34	2016

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