Ajay Jasra 个人学术档案 - 学术资源搜索

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引用	7675	3558
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Pierre Del MoralResearch Director, INRIA Bordeaux - Sud Ouest在 inria.fr 的电子邮件经过验证
Alexandros BeskosProfessor in Statistics, UCL在 ucl.ac.uk 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
Dan CrisanProfessor of Mathematics, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
David A. StephensProfessor, Department of Mathematics and Statistics, McGill University在 mcgill.ca 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
Nikolas KantasDept. of Mathematics, Imperial College London在 imperial.ac.uk 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
Maria De IorioProfessor of Biostatistics, National University of Singapore在 nus.edu.sg 的电子邮件经过验证
Neil ChadaHeriot Watt University在 hw.ac.uk 的电子邮件经过验证
Christophe AndrieuProfessor of Statistics, University of Bristol在 bristol.ac.uk 的电子邮件经过验证
Fangyuan YuPhd candidate of statistics, KAUST在 kaust.edu.sa 的电子邮件经过验证
James S. MartinSenior Strategic Teaching Fellow, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
Emma McCoyProfessor of Statistics, London School of Economics and Political Science在 lse.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
Jeremie HoussineauNanyang Technological University (NTU)在 ntu.edu.sg 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
Pavel LougovskiAmazon Web Services在 amazon.com 的电子邮件经过验证
Lixian ZhangHarbin Institute of Technology在 hit.edu.cn 的电子邮件经过验证
Raul TemponeProfessor of Applied Mathematics, Alexander von Humboldt Professor RWTH-Aachen & KAUST在 kaust.edu.sa 的电子邮件经过验证

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Ajay Jasra

Professor of Data Science, The Chinese University of Hong Kong, Shenzhen

在 cuhk.edu.cn 的电子邮件经过验证 - 首页

Particle Filtering Markov Chains Multilevel Monte Carlo Non-Linear Filtering


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
Sequential monte carlo samplers P Del Moral, A Doucet, A Jasra Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2006	2137	2006
Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling A Jasra, CC Holmes, DA Stephens	896	2005
An adaptive sequential Monte Carlo method for approximate Bayesian computation P Del Moral, A Doucet, A Jasra Statistics and computing 22, 1009-1020, 2012	598	2012
On population-based simulation for static inference A Jasra, DA Stephens, CC Holmes Statistics and Computing 17, 263-279, 2007	246	2007
On adaptive resampling strategies for sequential Monte Carlo methods P Del Moral, A Doucet, A Jasra	238	2012
On the stability of sequential Monte Carlo methods in high dimensions A Beskos, D Crisan, A Jasra	204	2014
Inference for Lévy‐driven stochastic volatility models via adaptive sequential Monte Carlo A Jasra, DA Stephens, A Doucet, T Tsagaris Scandinavian Journal of Statistics 38 (1), 1-22, 2011	171	2011
Sequential monte carlo for bayesian computation JM Bernardo, MJ Bayarri, JO Berger, AP Dawid, D Heckerman, ... Bayesian Stat 8, 1-34, 2011	150	2011
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	127*	2017
Population-based reversible jump Markov chain Monte Carlo A Jasra, DA Stephens, CC Holmes Biometrika 94 (4), 787-807, 2007	126	2007
Robust finite-time control of switched linear systems and application to a class of servomechanism systems L Zhang, S Wang, HR Karimi, A Jasra IEEE/ASME Transactions on Mechatronics 20 (5), 2476-2485, 2015	125	2015
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	125	2014
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	121	2017
Filtering via approximate Bayesian computation A Jasra, SS Singh, JS Martin, E McCoy Statistics and Computing 22, 1223-1237, 2012	120	2012
Parameter estimation for hidden Markov models with intractable likelihoods TA Dean, SS Singh, A Jasra, GW Peters Scandinavian Journal of Statistics 41 (4), 970-987, 2014	116	2014
On the convergence of adaptive sequential Monte Carlo methods A Beskos, A Jasra, N Kantas, A Thiery	113	2016
A practical and efficient approach for Bayesian quantum state estimation JM Lukens, KJH Law, A Jasra, P Lougovski New Journal of Physics 22 (6), 063038, 2020	107	2020
DECODE: A new method for discovering clusters of different densities in spatial data T Pei, A Jasra, DJ Hand, AX Zhu, C Zhou Data Mining and Knowledge Discovery 18, 337-369, 2009	102	2009
Multilevel particle filters A Jasra, K Kamatani, KJH Law, Y Zhou SIAM Journal on Numerical Analysis 55 (6), 3068-3096, 2017	97	2017
Sequential Monte Carlo methods for Bayesian elliptic inverse problems A Beskos, A Jasra, EA Muzaffer, AM Stuart Statistics and Computing 25, 727-737, 2015	79	2015

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