Ajay Jasra

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Pierre Del MoralResearch Director, INRIA Bordeaux - Sud OuestVerified email at inria.fr
Kody J. H. LawDepartment of Mathematics, University of ManchesterVerified email at manchester.ac.uk
Alexandros BeskosProfessor in Statistics, UCLVerified email at ucl.ac.uk
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 Singapore & University College LondonVerified email at nus.edu.sg
Christophe AndrieuProfessor of Statistics, University of BristolVerified email at bristol.ac.uk
James S. MartinSenior Strategic Teaching Fellow, Imperial College LondonVerified email at imperial.ac.uk
Alexandre ThieryAssociate Professor, National University of Singapore (NUS)Verified email at nus.edu.sg
Nick WhiteleyUniversity of BristolVerified email at bristol.ac.uk
Fangyuan YuPhd candidate of statistics, KAUSTVerified email at kaust.edu.sa
Neil ChadaHeriot Watt UniversityVerified email at hw.ac.uk
Hamza RuzayqatResearch Scientist, King Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
Raul TemponeProfessor of Applied Mathematics, Director - Center for Uncertainty Quantification, KAUSTVerified email at kaust.edu.sa
Jeremie HoussineauUniversity of WarwickVerified email at warwick.ac.uk
Daniel PaulinLecturer of Statistics and Data Science, University of EdinburghVerified email at ed.ac.uk
Adam PersingResearch Associate, UCLVerified email at ucl.ac.uk

Ajay Jasra

Professor of Applied Mathematics & Statistics, KAUST

Verified email at kaust.edu.sa - Homepage

Particle Filters Markov Chains Multilevel Monte Carlo Non-Linear Filtering


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Sequential monte carlo samplers P Del Moral, A Doucet, A Jasra Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2006	1872	2006
Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling A Jasra, CC Holmes, DA Stephens	830	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	543	2012
On population-based simulation for static inference A Jasra, DA Stephens, CC Holmes Statistics and Computing 17, 263-279, 2007	233	2007
On adaptive resampling strategies for sequential Monte Carlo methods P Del Moral, A Doucet, A Jasra	218	2012
On the stability of sequential Monte Carlo methods in high dimensions A Beskos, D Crisan, A Jasra	190	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	151	2011
Sequential monte carlo for bayesian computation JM Bernardo, MJ Bayarri, JO Berger, AP Dawid, D Heckerman, ... Bayesian statistics 8, 1-34, 2011	140	2011
Population-based reversible jump Markov chain Monte Carlo A Jasra, DA Stephens, CC Holmes Biometrika 94 (4), 787-807, 2007	118	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	117	2015
Filtering via approximate Bayesian computation A Jasra, SS Singh, JS Martin, E McCoy Statistics and Computing 22, 1223-1237, 2012	113	2012
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	109	2017
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	109	2014
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	107	2014
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	98*	2017
On the convergence of adaptive sequential Monte Carlo methods A Beskos, A Jasra, N Kantas, A Thiery	96	2016
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	91	2009
Multilevel particle filters A Jasra, K Kamatani, KJH Law, Y Zhou SIAM Journal on Numerical Analysis 55 (6), 3068-3096, 2017	82	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	71	2015
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	65	2020

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