| Sequential monte carlo samplers P Del Moral, A Doucet, A Jasra Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2006 | 2514 | 2006 |
| Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling A Jasra, CC Holmes, DA Stephens | 969 | 2005 |
| An adaptive sequential Monte Carlo method for approximate Bayesian computation P Del Moral, A Doucet, A Jasra Statistics and computing 22 (5), 1009-1020, 2012 | 682 | 2012 |
| On adaptive resampling strategies for sequential Monte Carlo methods P Del Moral, A Doucet, A Jasra | 265 | 2012 |
| On population-based simulation for static inference A Jasra, DA Stephens, CC Holmes Statistics and Computing 17 (3), 263-279, 2007 | 255 | 2007 |
| On the stability of sequential Monte Carlo methods in high dimensions A Beskos, D Crisan, A Jasra | 234 | 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 | 198 | 2011 |
| Sequential monte carlo for bayesian computation JM Bernardo, MJ Bayarri, JO Berger, AP Dawid, D Heckerman, ... Bayesian statistics 8, 1-34, 2011 | 173 | 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 | 159 | 2020 |
| 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 | 149 | 2014 |
| On the convergence of adaptive sequential Monte Carlo methods A Beskos, A Jasra, N Kantas, A Thiery | 137 | 2016 |
| 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 | 135 | 2017 |
| 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 | 133 | 2015 |
| Population-based reversible jump Markov chain Monte Carlo A Jasra, DA Stephens, CC Holmes Biometrika 94 (4), 787-807, 2007 | 133 | 2007 |
| Filtering via approximate Bayesian computation A Jasra, SS Singh, JS Martin, E McCoy Statistics and Computing 22 (6), 1223-1237, 2012 | 127 | 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 | 126 | 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 | 125* | 2017 |
| Multilevel particle filters A Jasra, K Kamatani, KJH Law, Y Zhou SIAM Journal on Numerical Analysis 55 (6), 3068-3096, 2017 | 107 | 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 (3), 337-369, 2009 | 106 | 2009 |
| Sequential Monte Carlo methods for Bayesian elliptic inverse problems A Beskos, A Jasra, EA Muzaffer, AM Stuart Statistics and Computing 25 (4), 727-737, 2015 | 91 | 2015 |
Pierre Del MoralResearch Director, INRIA Bordeaux - Sud OuestVerified email at inria.fr
