Nick Whiteley

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Simon GodsillUniversity of CambridgeVerified email at eng.cam.ac.uk
Adam M. JohansenUniversity of WarwickVerified email at warwick.ac.uk
Anthony LeeSchool of Mathematics, University of BristolVerified email at bristol.ac.uk
Christophe AndrieuProfessor of Statistics, University of BristolVerified email at bristol.ac.uk
Sumeetpal Sidhu SinghTibra Foundation Chair in Mathematical Sciences, School of Mathematics, University of WollongongVerified email at uow.edu.au
Ali Taylan CemgilResearch Scientist, DeepMind UKVerified email at google.com
Arnaud DoucetProfessor of Statistics, University of Oxford & Senior Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Ajay JasraProfessor of Applied Mathematics & Statistics, KAUSTVerified email at kaust.edu.sa
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)Verified email at ensae.fr
Dan CrisanProfessor of Mathematics, Imperial College LondonVerified email at imperial.ac.uk
Alexandros BeskosProfessor in Statistics, UCLVerified email at ucl.ac.uk
Lorenzo RimellaSenior research associate, Lancaster UniversityVerified email at lancaster.ac.uk
Nikolas KantasDept. of Mathematics, Imperial College LondonVerified email at imperial.ac.uk
J. Tiago GonçalvesAlbert Einstein College of MedicineVerified email at einsteinmed.edu
Cian O'DonnellUlster UniversityVerified email at ulster.ac.uk
Patrick Rubin-DelanchyUniversity of BristolVerified email at bristol.ac.uk
Carlos Portera-CailliauProfessor of Neurology, UCLAVerified email at mednet.ucla.edu
James S. MartinSenior Strategic Teaching Fellow, Imperial College LondonVerified email at imperial.ac.uk
Pierre Del MoralResearch Director, INRIA Bordeaux - Sud OuestVerified email at inria.fr
Emma McCoyProfessor of Statistics, London School of Economics and Political ScienceVerified email at lse.ac.uk

Nick Whiteley

University of Bristol

Verified email at bristol.ac.uk - Homepage

Manifold learning Topological and Geometric Data Analysis Network and Graph Representation Learning Scaleable inference in Dy


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Auxiliary particle implementation of probability hypothesis density filter N Whiteley, S Singh, S Godsill IEEE Transactions on Aerospace and Electronic Systems 46 (3), 1437-1454, 2010	161	2010
Monte carlo methods AM Johansen, L Evers, N Whiteley International encyclopedia of education, 296-303, 2010	105	2010
Bayesian Modelling of Temporal Structure in Musical Audio. N Whiteley, AT Cemgil, SJ Godsill ISMIR, 29-34, 2006	88	2006
Discussion on particle Markov chain Monte Carlo methods N Whiteley Journal of the Royal Statistical Society: Series B 72 (3), 306-307, 2010	87	2010
Stability properties of some particle filters N Whiteley	84	2013
On the role of interaction in sequential Monte Carlo algorithms N Whiteley, A Lee, K Heine	80	2016
Efficient Bayesian inference for switching state-space models using discrete particle Markov chain Monte Carlo methods N Whiteley, C Andrieu, A Doucet arXiv preprint arXiv:1011.2437, 2010	78	2010
Negative association, ordering and convergence of resampling methods M Gerber, N Chopin, N Whiteley The Annals of Statistics 47 (4), 2236-2260, 2019	68	2019
Variance estimation in the particle filter A Lee, N Whiteley Biometrika 105 (3), 609-625, 2018	55	2018
Twisted particle filters N Whiteley, A Lee	50	2014
Error bounds and normalising constants for sequential Monte Carlo samplers in high dimensions A Beskos, DO Crisan, A Jasra, N Whiteley Advances in Applied Probability 46 (1), 279-306, 2014	44	2014
Global consensus Monte Carlo LJ Rendell, AM Johansen, A Lee, N Whiteley Journal of Computational and Graphical Statistics 30 (2), 249-259, 2020	38	2020
Sequential Monte Carlo samplers: error bounds and insensitivity to initial conditions N Whiteley Stochastic Analysis and Applications 30 (5), 774-798, 2012	37	2012
Approximate Bayesian computation for smoothing JS Martin, A Jasra, SS Singh, N Whiteley, P Del Moral, E McCoy Stochastic Analysis and Applications 32 (3), 397-420, 2014	36	2014
Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm M Pereyra, N Whiteley, C Andrieu, JY Tourneret 2014 IEEE Workshop on Statistical Signal Processing (SSP), 121-124, 2014	35	2014
Monte Carlo filtering of piecewise deterministic processes N Whiteley, AM Johansen, S Godsill Journal of Computational and Graphical Statistics 20 (1), 119-139, 2011	34	2011
Forest resampling for distributed sequential Monte Carlo A Lee, N Whiteley Statistical Analysis and Data Mining: The ASA Data Science Journal 9 (4 …, 2016	33	2016
Recent developments in auxiliary particle filtering N Whiteley, AM Johansen Inference and learning in dynamic models 38, 39-47, 2010	30	2010
An introduction to twisted particle filters and parameter estimation in non-linear state-space models J Ala-Luhtala, N Whiteley, K Heine, R Piché IEEE Transactions on Signal Processing 64 (18), 4875-4890, 2016	27	2016
Exact approximation of Rao-Blackwellised particle filters AM Johansen, N Whiteley, A Doucet IFAC Proceedings Volumes 45 (16), 488-493, 2012	26	2012

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