Alexandros Beskos 个人学术档案

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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
Gareth RobertsProfessor of Statistics, University of Warwick在 warwick.ac.uk 的电子邮件经过验证
Andrew M StuartComputing + Mathematical Sciences, Caltech在 caltech.edu 的电子邮件经过验证
Dan CrisanProfessor of Mathematics, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
Omiros PapaspiliopoulosBocconi在 unibocconi.it 的电子邮件经过验证
Nikolas KantasDept. of Mathematics, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
Maria De IorioProfessor of Biostatistics, National University of Singapore在 nus.edu.sg 的电子邮件经过验证
JM Sanz-SernaUniversidad Carlos III de Madrid在 math.uc3m.es 的电子邮件经过验证
Natesh S. PillaiHarvard University在 fas.harvard.edu 的电子邮件经过验证
Paul FearnheadProfessor of Statistics; Lancaster University在 lancs.ac.uk 的电子邮件经过验证
Alexandre ThieryAssociate Professor, National University of Singapore (NUS)在 nus.edu.sg 的电子邮件经过验证
Matthew M. GrahamResearch data scientist, University College London在 ucl.ac.uk 的电子邮件经过验证
Willem van den BoomScientist, Agency for Science Technology and Research在 sics.a-star.edu.sg 的电子邮件经过验证
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at Meta在 meta.com 的电子邮件经过验证
Hamza RuzayqatResearch Scientist, King Abdullah University of Science and Technology在 kaust.edu.sa 的电子邮件经过验证
Konstantinos KalogeropoulosAssociate Professor of Statistics, London School of Economics在 lse.ac.uk 的电子邮件经过验证
Jochen VossLecturer in Statistics, University of Leeds在 leeds.ac.uk 的电子邮件经过验证
Mark GirolamiUniversity of Cambridge在 cam.ac.uk 的电子邮件经过验证
Shiwei LanASU在 asu.edu 的电子邮件经过验证
Patrick FarrellProfessor, University of Oxford在 maths.ox.ac.uk 的电子邮件经过验证

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Alexandros Beskos

Professor in Statistics, UCL

在 ucl.ac.uk 的电子邮件经过验证 - 首页

Bayesian Statistics Computational Statistics Statistical Modelling Financial Statistics Biostatistics


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
Exact and computationally efficient likelihood-based estimation for discretely observed diffusion processes (with discussion) A Beskos, O Papaspiliopoulos, GO Roberts, P Fearnhead Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2006	506	2006
Optimal tuning of the hybrid Monte Carlo algorithm A Beskos, N Pillai, G Roberts, JM Sanz-Serna, A Stuart	408	2013
Exact simulation of diffusions A Beskos, GO Roberts	384	2005
Retrospective exact simulation of diffusion sample paths with applications A Beskos, O Papaspiliopoulos, GO Roberts Bernoulli 12 (6), 1077-1098, 2006	306	2006
MCMC methods for diffusion bridges A Beskos, G Roberts, A Stuart, J Voss Stochastics and Dynamics 8 (03), 319-350, 2008	262	2008
On the stability of sequential Monte Carlo methods in high dimensions A Beskos, D Crisan, A Jasra	212	2014
Geometric MCMC for infinite-dimensional inverse problems A Beskos, M Girolami, S Lan, PE Farrell, AM Stuart Journal of Computational Physics 335, 327-351, 2017	174	2017
Hybrid monte carlo on hilbert spaces A Beskos, FJ Pinski, JM Sanz-Serna, AM Stuart Stochastic Processes and their Applications 121 (10), 2201-2230, 2011	171	2011
Optimal scalings for local Metropolis–Hastings chains on nonproduct targets in high dimensions A Beskos, G Roberts, A Stuart	143	2009
Sequential Monte Carlo methods for high-dimensional inverse problems: A case study for the Navier--Stokes equations N Kantas, A Beskos, A Jasra SIAM/ASA Journal on Uncertainty Quantification 2 (1), 464-489, 2014	134	2014
A factorisation of diffusion measure and finite sample path constructions A Beskos, O Papaspiliopoulos, GO Roberts Methodology and Computing in Applied Probability 10, 85-104, 2008	134	2008
A stable particle filter for a class of high-dimensional state-space models A Beskos, D Crisan, A Jasra, K Kamatani, Y Zhou Advances in Applied Probability 49 (1), 24-48, 2017	128*	2017
Multilevel sequential monte carlo samplers A Beskos, A Jasra, K Law, R Tempone, Y Zhou Stochastic Processes and their Applications 127 (5), 1417-1440, 2017	125	2017
On the convergence of adaptive sequential Monte Carlo methods A Beskos, A Jasra, N Kantas, A Thiery	120	2016
Monte Carlo maximum likelihood estimation for discretely observed diffusion processes A Beskos, O Papaspiliopoulos, G Roberts	115	2009
Sequential Monte Carlo methods for Bayesian elliptic inverse problems A Beskos, A Jasra, EA Muzaffer, AM Stuart Statistics and Computing 25, 727-737, 2015	85	2015
Error bounds and normalising constants for sequential Monte Carlo samplers in high dimensions A Beskos, DO Crisan, A Jasra, N Whiteley Advances in Applied Probability 46 (1), 279-306, 2014	67*	2014
MCMC methods for sampling function space A Beskos, A Stuart Invited Lectures, Sixth International Congress on Industrial and Applied …, 2009	64	2009
Multilevel sequential Monte Carlo with dimension-independent likelihood-informed proposals A Beskos, A Jasra, K Law, Y Marzouk, Y Zhou SIAM/ASA Journal on Uncertainty Quantification 6 (2), 762-786, 2018	49	2018
Markov chain Monte Carlo for exact inference for diffusions G Sermaidis, O Papaspiliopoulos, GO Roberts, A Beskos, P Fearnhead Scandinavian Journal of Statistics 40 (2), 294-321, 2013	47	2013

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