Adam M. Johansen

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Arnaud DoucetGoogle DeepMindVerified email at google.com
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
Francesca Romana CrucinioKing's College LondonVerified email at kcl.ac.uk
Juan KuntzPolygeistVerified email at polygei.st
Manuel DAVYCEO at VekiaVerified email at vekia.fr
Paul JenkinsDepartments of Statistics & Computer Science, University of WarwickVerified email at warwick.ac.uk
Simon GodsillUniversity of CambridgeVerified email at eng.cam.ac.uk
Anthony LeeSchool of Mathematics, University of BristolVerified email at bristol.ac.uk
Daniel John LawsonUniversity of BristolVerified email at bristol.ac.uk
Paul FearnheadProfessor of Statistics; Lancaster UniversityVerified email at lancs.ac.uk
Julia BrettschneiderUniversity of WarwickVerified email at warwick.ac.uk
Jere KoskelaReader, School of Mathematics, Statistics and Physics, Newcastle UniversityVerified email at newcastle.ac.uk
Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
Fredrik LindstenAssociate Professor, Linköping UniversityVerified email at liu.se
Sumeetpal Sidhu SinghTibra Foundation Chair in Mathematical Sciences, School of Mathematics, University of WollongongVerified email at uow.edu.au
Ba-Ngu VoCurtin UniversityVerified email at curtin.edu.au

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	2843	2011
A note on auxiliary particle filters AM Johansen, A Doucet Statistics & Probability Letters 78 (12), 1498-1504, 2008	244	2008
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	160	2016
Likelihood-free estimation of model evidence X Didelot, RG Everitt, AM Johansen, DJ Lawson Bayesian Analysis 6 (1), 49-76, 2011	156	2011
Monte Carlo methods AM Johansen International Encyclopedia of Education, 296-303, 2010	153	2010
The iterated auxiliary particle filter P Guarniero, AM Johansen, A Lee Journal of the American Statistical Association 112 (520), 1636-1647, 2017	120	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	100	2006
Particle methods for maximum likelihood estimation in latent variable models AM Johansen, A Doucet, M Davy Statistics and Computing 18, 47-57, 2008	97	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	81*	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	77	2017
SMCTC: sequential Monte Carlo in C++ AM Johansen Journal of Statistical Software 30, 1-41, 2009	72	2009
On the exact and -strong simulation of (jump) diffusions M Pollock, AM Johansen, GO Roberts Bernoulli 22 (2), 794-856, 2016	61*	2016
Quantifying the uncertainty in change points CFH Nam, JAD Aston, AM Johansen Journal of Time Series Analysis 33 (5), 807--823, 2012	56	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	54*	2020
A simple approach to maximum intractable likelihood estimation FJ Rubio, AM Johansen Electronic Journal of Statistics 7, 1632-1654, 2013	53	2013
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	52	2010
Global consensus Monte Carlo LJ Rendell, AM Johansen, A Lee, N Whiteley Journal of Computational and Graphical Statistics 30 (2), 249-259, 2021	51	2021
Recent developments in auxiliary particle filtering N Whiteley, AM Johansen Bayesian Time Series Models, 52-79, 2011	51*	2011
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	45	2017

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