Adam M. Johansen

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Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
John AstonStatistical Laboratory, DPMMS, University of CambridgeVerified email at statslab.cam.ac.uk
Nick WhiteleyUniversity of BristolVerified email at bristol.ac.uk
Murray PollockNewcastle UniversityVerified email at newcastle.ac.uk
Gareth RobertsProfessor of Statistics, University of WarwickVerified email at warwick.ac.uk
Richard G. EverittUniversity of WarwickVerified email at warwick.ac.uk
Manuel DAVYCEO at VekiaVerified email at vekia.fr
Simon GodsillUniversity of CambridgeVerified email at eng.cam.ac.uk
Paul JenkinsDepartments of Statistics & Computer Science, University of WarwickVerified email at warwick.ac.uk
Daniel John LawsonUniversity of BristolVerified email at bristol.ac.uk
Francesca Romana CrucinioCREST, ENSAE ParisVerified email at ensae.fr
Anthony LeeSchool of Mathematics, University of BristolVerified email at bristol.ac.uk
Paul FearnheadProfessor of Statistics; Lancaster UniversityVerified email at lancs.ac.uk
Ba-Ngu VoCurtin UniversityVerified email at curtin.edu.au
Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
Fredrik LindstenAssociate Professor, Linköping UniversityVerified email at liu.se
Alberto SorrentinoDipartimento di Matematica, Università di GenovaVerified email at dima.unige.it
Jere KoskelaReader, School of Mathematics, Statistics and Physics, Newcastle UniversityVerified email at newcastle.ac.uk
Pierre Del MoralResearch Director, INRIA Bordeaux - Sud OuestVerified email at inria.fr
Axel FinkeDepartment of Mathematics, Loughborough University, UKVerified email at lboro.ac.uk

Adam M. Johansen

University of Warwick

Verified email at warwick.ac.uk - Homepage

Monte Carlo Methods Computational Statistics Bayesian Statistics Decision Theory


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A tutorial on particle filtering and smoothing: Fifteen years later A Doucet, AM Johansen Handbook of Nonlinear Filtering, 656-704, 2011	2658	2011
A note on auxiliary particle filters AM Johansen, A Doucet Statistics & Probability Letters 78 (12), 1498-1504, 2008	238	2008
Likelihood-free estimation of model evidence X Didelot, RG Everitt, AM Johansen, DJ Lawson Bayesian Analysis 6 (1), 49-76, 2011	154	2011
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	142	2016
Monte Carlo methods AM Johansen International Encyclopedia of Education, 296-303, 2010	116	2010
The iterated auxiliary particle filter P Guarniero, AM Johansen, A Lee Journal of the American Statistical Association 112 (520), 1636-1647, 2017	109	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	103	2006
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	90	2007
Particle methods for maximum likelihood estimation in latent variable models AM Johansen, A Doucet, M Davy Statistics and Computing 18, 47-57, 2008	86	2008
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	81*	2006
SMCTC: sequential Monte Carlo in C++ AM Johansen Journal of Statistical Software 30, 1-41, 2009	70	2009
On the exact and -strong simulation of (jump) diffusions M Pollock, AM Johansen, GO Roberts Bernoulli 22 (2), 794-856, 2016	57*	2016
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	54	2017
Recent developments in auxiliary particle filtering N Whiteley, AM Johansen Bayesian Time Series Models, 52-79, 2011	53*	2011
Quantifying the uncertainty in change points CFH Nam, JAD Aston, AM Johansen Journal of Time Series Analysis 33 (5), 807--823, 2012	51	2012
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	50	2010
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	49*	2020
A simple approach to maximum intractable likelihood estimation FJ Rubio, AM Johansen Electronic Journal of Statistics 7, 1632-1654, 2013	48	2013
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	42	2017
Monte Carlo filtering of piecewise deterministic processes N Whiteley, AM Johansen, S Godsill Journal of Computational and Graphical Statistics 20 (1), 119-139, 2011	40	2011

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