Anthony Lee

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Christophe AndrieuProfessor of Statistics, University of BristolVerifierad e-postadress på bristol.ac.uk
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerifierad e-postadress på stats.ox.ac.uk
Nick WhiteleyUniversity of BristolVerifierad e-postadress på bristol.ac.uk
Christopher DrovandiProfessor of Statistics, Queensland University of TechnologyVerifierad e-postadress på qut.edu.au
Lawrence MurrayUber AIVerifierad e-postadress på uber.com
Matti ViholaDepartment of Mathematics and Statistics, University of JyväskyläVerifierad e-postadress på jyu.fi
Chris HolmesVerifierad e-postadress på stats.ox.ac.uk
Christopher YauUniversity of OxfordVerifierad e-postadress på wrh.ox.ac.uk
Pierre E. JacobESSEC Business SchoolVerifierad e-postadress på essec.edu
Sumeetpal Sidhu SinghTibra Foundation Chair in Mathematical Sciences, School of Mathematics, University of WollongongVerifierad e-postadress på uow.edu.au
David NottAssociate Professor of Statistics, National University of SingaporeVerifierad e-postadress på nus.edu.sg
Andi Qi WangUniversity of WarwickVerifierad e-postadress på warwick.ac.uk
Samuel PowerLecturer of Statistical Science, University of BristolVerifierad e-postadress på bristol.ac.uk
Michael B. GilesProfessor of Scientific Computing, University of OxfordVerifierad e-postadress på maths.ox.ac.uk
Adam M. JohansenUniversity of WarwickVerifierad e-postadress på warwick.ac.uk
Ajay JasraProfessor of Data Science, The Chinese University of Hong Kong, ShenzhenVerifierad e-postadress på cuhk.edu.cn
Christian RobertUniversité Paris Dauphine, PSL & University of WarwickVerifierad e-postadress på ceremade.dauphine.fr
David S. LeslieProfessor of Statistical Learning, Lancaster UniversityVerifierad e-postadress på lancaster.ac.uk
Krzysztof LatuszynskiUniversity of Warwick, Department of StatisticsVerifierad e-postadress på warwick.ac.uk
Chris SherlockLancaster UniversityVerifierad e-postadress på lancaster.ac.uk

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Anthony Lee

School of Mathematics, University of Bristol

Verifierad e-postadress på bristol.ac.uk - Startsida

Computational Statistics Sequential Monte Carlo Markov chain Monte Carlo Bayesian Inference


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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
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
Bayesian synthetic likelihood LF Price, CC Drovandi, A Lee, DJ Nott Journal of Computational and Graphical Statistics 27 (1), 1-11, 2018	235	2018
Parallel resampling in the particle filter LM Murray, A Lee, PE Jacob Journal of Computational and Graphical Statistics 25 (3), 789-805, 2016	201	2016
The iterated auxiliary particle filter P Guarniero, AM Johansen, A Lee Journal of the American Statistical Association 112 (520), 1636-1647, 2017	116	2017
Bayesian indirect inference using a parametric auxiliary model CC Drovandi, AN Pettitt, A Lee	116	2015
Uniform ergodicity of the iterated conditional SMC and geometric ergodicity of particle Gibbs samplers C Andrieu, A Lee, M Vihola	103	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	67	2018
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
Twisted particle filters N Whiteley, A Lee	61	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	53*	2015
Stability of noisy Metropolis–Hastings FJ Medina-Aguayo, A Lee, GO Roberts Statistics and Computing 26 (6), 1187-1211, 2016	52	2016
Global consensus Monte Carlo LJ Rendell, AM Johansen, A Lee, N Whiteley Journal of Computational and Graphical Statistics 30 (2), 249-259, 2020	50	2020
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	37	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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