Ajay Jasra

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Pierre Del MoralResearch Director, INRIA Bordeaux - Sud OuestVerified email at inria.fr
Alexandros BeskosProfessor in Statistics, UCLVerified email at ucl.ac.uk
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at MetaVerified email at meta.com
Dan CrisanProfessor of Mathematics, Imperial College LondonVerified email at imperial.ac.uk
David A. StephensProfessor, Department of Mathematics and Statistics, McGill UniversityVerified email at mcgill.ca
Chris HolmesVerified email at stats.ox.ac.uk
Nikolas KantasDept. of Mathematics, Imperial College LondonVerified email at imperial.ac.uk
Sumeetpal Sidhu SinghTibra Foundation Chair in Mathematical Sciences, School of Mathematics, University of WollongongVerified email at uow.edu.au
Maria De IorioProfessor of Biostatistics, National University of SingaporeVerified email at nus.edu.sg
Neil ChadaCity University of Hong KongVerified email at cityu.edu.hk
Fangyuan YuTemus AI & DataVerified email at kaust.edu.sa
Christophe AndrieuProfessor of Statistics, University of BristolVerified email at bristol.ac.uk
Raul TemponeProfessor of Applied Mathematics, Alexander von Humboldt Professor RWTH-Aachen & KAUSTVerified email at kaust.edu.sa
James S. MartinHonorary Research Fellow, Imperial College LondonVerified email at imperial.ac.uk
Emma McCoyProfessor of Statistics, London School of Economics and Political ScienceVerified email at lse.ac.uk
Pavel LougovskiAmazon Web ServicesVerified email at amazon.com
Nick WhiteleyUniversity of BristolVerified email at bristol.ac.uk
Jeremie HoussineauNanyang Technological University (NTU)Verified email at ntu.edu.sg
Lixian ZhangHarbin Institute of TechnologyVerified email at hit.edu.cn
Alexandre ThieryAssociate Professor, National University of Singapore (NUS)Verified email at nus.edu.sg

Ajay Jasra

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

Verified email at cuhk.edu.cn - Homepage

Particle Filtering Markov Chains Multilevel Monte Carlo Non-Linear Filtering


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Sequential monte carlo samplers P Del Moral, A Doucet, A Jasra Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2006	2271	2006
Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling A Jasra, CC Holmes, DA Stephens	924	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	629	2012
On adaptive resampling strategies for sequential Monte Carlo methods P Del Moral, A Doucet, A Jasra	253	2012
On population-based simulation for static inference A Jasra, DA Stephens, CC Holmes Statistics and Computing 17, 263-279, 2007	246	2007
On the stability of sequential Monte Carlo methods in high dimensions A Beskos, D Crisan, A Jasra	217	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	185	2011
Sequential monte carlo for bayesian computation JM Bernardo, MJ Bayarri, JO Berger, AP Dawid, D Heckerman, ... Bayesian statistics 8, 1-34, 2011	164	2011
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	132	2020
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	131	2017
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	131	2014
Population-based reversible jump Markov chain Monte Carlo A Jasra, DA Stephens, CC Holmes Biometrika 94 (4), 787-807, 2007	129	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	128	2015
On the convergence of adaptive sequential Monte Carlo methods A Beskos, A Jasra, N Kantas, A Thiery	124	2016
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	122*	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	117	2014
Multilevel particle filters A Jasra, K Kamatani, KJH Law, Y Zhou SIAM Journal on Numerical Analysis 55 (6), 3068-3096, 2017	103	2017
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	103	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	88	2015

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