Anthony Lee 个人学术档案 - 学术资源搜索

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引用	2354	1345
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i10 指数	35	28

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Christophe AndrieuProfessor of Statistics, University of Bristol在 bristol.ac.uk 的电子邮件经过验证
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMind在 stats.ox.ac.uk 的电子邮件经过验证
Nick WhiteleyUniversity of Bristol在 bristol.ac.uk 的电子邮件经过验证
Christopher DrovandiProfessor of Statistics, Queensland University of Technology在 qut.edu.au 的电子邮件经过验证
Lawrence MurrayUber AI在 uber.com 的电子邮件经过验证
Matti ViholaDepartment of Mathematics and Statistics, University of Jyväskylä在 jyu.fi 的电子邮件经过验证
Chris Holmes在 stats.ox.ac.uk 的电子邮件经过验证
Christopher YauUniversity of Oxford在 wrh.ox.ac.uk 的电子邮件经过验证
Pierre E. JacobESSEC Business School在 essec.edu 的电子邮件经过验证
Sumeetpal Sidhu SinghTibra Foundation Chair in Mathematical Sciences, School of Mathematics, University of Wollongong在 uow.edu.au 的电子邮件经过验证
David NottAssociate Professor of Statistics, National University of Singapore在 nus.edu.sg 的电子邮件经过验证
Michael B. GilesProfessor of Scientific Computing, University of Oxford在 maths.ox.ac.uk 的电子邮件经过验证
Ajay JasraProfessor of Data Science, The Chinese University of Hong Kong, Shenzhen在 cuhk.edu.cn 的电子邮件经过验证
Adam M. JohansenUniversity of Warwick在 warwick.ac.uk 的电子邮件经过验证
Andi Qi WangUniversity of Warwick在 warwick.ac.uk 的电子邮件经过验证
Samuel PowerLecturer of Statistical Science, University of Bristol在 bristol.ac.uk 的电子邮件经过验证
Christian RobertUniversité Paris Dauphine, PSL & University of Warwick在 ceremade.dauphine.fr 的电子邮件经过验证
David S. LeslieProfessor of Statistical Learning, Lancaster University在 lancaster.ac.uk 的电子邮件经过验证
Krzysztof LatuszynskiUniversity of Warwick, Department of Statistics在 warwick.ac.uk 的电子邮件经过验证
Chris SherlockLancaster University在 lancaster.ac.uk 的电子邮件经过验证

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Anthony Lee

School of Mathematics, University of Bristol

在 bristol.ac.uk 的电子邮件经过验证 - 首页

Computational Statistics Sequential Monte Carlo Markov chain Monte Carlo Bayesian Inference


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	374	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	241	2012
Bayesian synthetic likelihood LF Price, CC Drovandi, A Lee, DJ Nott Journal of Computational and Graphical Statistics 27 (1), 1-11, 2018	227	2018
Parallel resampling in the particle filter LM Murray, A Lee, PE Jacob Journal of Computational and Graphical Statistics 25 (3), 789-805, 2016	196	2016
The iterated auxiliary particle filter P Guarniero, AM Johansen, A Lee Journal of the American Statistical Association 112 (520), 1636-1647, 2017	114	2017
Bayesian indirect inference using a parametric auxiliary model CC Drovandi, AN Pettitt, A Lee	113	2015
Uniform ergodicity of the iterated conditional SMC and geometric ergodicity of particle Gibbs samplers C Andrieu, A Lee, M Vihola	101	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	66	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
Accelerating Metropolis-Hastings algorithms by delayed acceptance M Banterle, C Grazian, A Lee, CP Robert arXiv preprint arXiv:1503.00996, 2015	60	2015
Twisted particle filters N Whiteley, A Lee	58	2014
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	51	2016
Global consensus Monte Carlo LJ Rendell, AM Johansen, A Lee, N Whiteley Journal of Computational and Graphical Statistics 30 (2), 249-259, 2020	49	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
Pseudo-marginal Metropolis–Hastings sampling using averages of unbiased estimators C Sherlock, AH Thiery, A Lee Biometrika 104 (3), 727-734, 2017	37	2017
Coupled conditional backward sampling particle filter A Lee, SS Singh, M Vihola	36	2020
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	33	2016

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