Arnaud Doucet
Arnaud Doucet
Professor of Statistics, University of Oxford & Research Scientist, Google DeepMind
Verified email at stats.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Sequential Monte Carlo Methods in Practice
A Doucet, N De Freitas, N Gordon
Sequential monte carlo methods in practice, 2001
9344*2001
On sequential Monte Carlo sampling methods for Bayesian filtering
A Doucet, S Godsill, C Andrieu
Statistics and computing 10 (3), 197-208, 2000
57102000
An introduction to MCMC for machine learning
C Andrieu, N De Freitas, A Doucet, MI Jordan
Machine learning 50 (1-2), 5-43, 2003
26322003
The unscented particle filter
R Van Der Merwe, A Doucet, N De Freitas, EA Wan
Advances in neural information processing systems, 584-590, 2001
23322001
A tutorial on particle filtering and smoothing: Fifteen years later
A Doucet, AM Johansen
Oxford Handbook of Nonlinear Filtering 12 (656-704), 3, 2011
20432011
Particle Markov chain Monte Carlo methods
C Andrieu, A Doucet, R Holenstein
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2010
19042010
Sequential Monte Carlo samplers
P Del Moral, A Doucet, A Jasra
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2006
15212006
Rao-Blackwellised particle filtering for dynamic Bayesian networks
A Doucet, N De Freitas, K Murphy, S Russell
UAI 2000, 2000
1511*2000
Sequential Monte Carlo methods for multitarget filtering with random finite sets
BN Vo, S Singh, A Doucet
IEEE Transactions on Aerospace and electronic systems 41 (4), 1224-1245, 2005
13792005
A survey of convergence results on particle filtering methods for practitioners
D Crisan, A Doucet
IEEE Transactions on signal processing 50 (3), 736-746, 2002
11662002
An introduction to sequential Monte Carlo methods
A Doucet, N De Freitas, N Gordon
Sequential Monte Carlo methods in practice, 3-14, 2001
11452001
On sequential simulation-based methods for Bayesian filtering
A Doucet
Technical Report CUED/F-INFENG/TR.310 Cambridge University, 1998
10051998
Particle filters for state estimation of jump Markov linear systems
A Doucet, NJ Gordon, V Krishnamurthy
IEEE Transactions on signal processing 49 (3), 613-624, 2001
10012001
Monte Carlo smoothing for nonlinear time series
SJ Godsill, A Doucet, M West
Journal of the american statistical association, 2004
5762004
Maintaining multi-modality through mixture tracking
J Vermaak, A Doucet, P Patrick
International Conference on Computer Vision, 1110, 2003
5342003
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
4372012
Sequential Monte Carlo implementation of the PHD filter for multi-target tracking
BN Vo, S Singh, A Doucet
Proc. Int’l Conf. on Information Fusion, 792-799, 2003
4122003
Fast computation of Wasserstein barycenters
M Cuturi, A Doucet
Proceedings of the 31st International Conference on Machine Learning, 685-693, 2014
3932014
Particle methods for change detection, system identification, and control
C Andrieu, A Doucet, SS Singh, VB Tadic
Proceedings of the IEEE 92 (3), 423-438, 2004
3752004
On the utility of graphics cards to perform massively parallel simulation of advanced Monte Carlo methods
A Lee, C Yau, MB Giles, A Doucet, CC Holmes
Journal of computational and graphical statistics 19 (4), 769-789, 2010
3282010
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