| A tutorial on particle filtering and smoothing: Fifteen years later A Doucet, AM Johansen Handbook of Nonlinear Filtering, 656-704, 2011 | 3074* | 2011 |
| A note on auxiliary particle filters AM Johansen, A Doucet Statistics & Probability Letters 78 (12), 1498-1504, 2008 | 256 | 2008 |
| Monte Carlo methods AM Johansen International Encyclopedia of Education, 296-303, 2010 | 187 | 2010 |
| Toward automatic model comparison: an adaptive sequential Monte Carlo approach Y Zhou, AM Johansen, JAD Aston Journal of Computational and Graphical Statistics 25 (3), 701-726, 2016 | 179 | 2016 |
| Likelihood-free estimation of model evidence X Didelot, RG Everitt, AM Johansen, DJ Lawson Bayesian Analysis 6 (1), 49-76, 2011 | 160 | 2011 |
| The iterated auxiliary particle filter P Guarniero, AM Johansen, A Lee Journal of the American Statistical Association 112 (520), 1636-1647, 2017 | 139 | 2017 |
| Convergence of the SMC Implementation of the PHD Filter AM Johansen, SS Singh, A Doucet, BN Vo Methodology and Computing in Applied Probability 8 (2), 265-291, 2006 | 101 | 2006 |
| Particle methods for maximum likelihood estimation in latent variable models AM Johansen, A Doucet, M Davy Statistics and Computing 18 (1), 47-57, 2008 | 100 | 2008 |
| Single-molecule level analysis of the subunit composition of the T cell receptor on live T cells JR James, SS White, RW Clarke, AM Johansen, PD Dunne, DL Sleep, ... Proceedings of the National Academy of Sciences 104 (45), 17662-17667, 2007 | 93 | 2007 |
| Sequential Monte Carlo samplers for rare events AM Johansen, PD Moral, A Doucet Proceedings of the 6th international workshop on rare event simulation, 256-267, 2006 | 83* | 2006 |
| Divide-and-conquer with sequential Monte Carlo F Lindsten, AM Johansen, CA Naesseth, B Kirkpatrick, TB Schön, ... Journal of Computational and Graphical Statistics 26 (2), 445-458, 2017 | 80 | 2017 |
| SMCTC: sequential Monte Carlo in C++ AM Johansen Journal of Statistical Software 30, 1-41, 2009 | 74 | 2009 |
| On the exact and -strong simulation of (jump) diffusions M Pollock, AM Johansen, GO Roberts Bernoulli 22 (2), 794-856, 2016 | 65* | 2016 |
| A simple approach to maximum intractable likelihood estimation FJ Rubio, AM Johansen Electronic Journal of Statistics 7, 1632-1654, 2013 | 63 | 2013 |
| Quantifying the uncertainty in change points CFH Nam, JAD Aston, AM Johansen Journal of Time Series Analysis 33 (5), 807--823, 2012 | 61 | 2012 |
| Quasi-stationary Monte Carlo and the ScaLE algorithm M Pollock, P Fearnhead, AM Johansen, GO Roberts Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020 | 60* | 2020 |
| Global consensus Monte Carlo LJ Rendell, AM Johansen, A Lee, N Whiteley Journal of Computational and Graphical Statistics 30 (2), 249-259, 2021 | 56 | 2021 |
| Recent developments in auxiliary particle filtering N Whiteley, AM Johansen Bayesian Time Series Models, 52-79, 2011 | 53* | 2011 |
| On solving integral equations using Markov chain Monte Carlo methods A Doucet, AM Johansen, VB Tadić Applied Mathematics and Computation 216 (10), 2869-2880, 2010 | 53 | 2010 |
| Microtubule organization within mitotic spindles revealed by serial block face scanning electron microscopy and image analysis FM Nixon, TR Honnor, NI Clarke, GP Starling, AJ Beckett, AM Johansen, ... Journal of cell science 130 (10), 1845-1855, 2017 | 49 | 2017 |
Arnaud DoucetGoogle DeepMindVerified email at google.com
