| On sequential Monte Carlo sampling methods for Bayesian filtering A Doucet, S Godsill, C Andrieu Statistics and computing 10 (3), 197-208, 2000 | 5417 | 2000 |
| An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50 (1-2), 5-43, 2003 | 2325 | 2003 |
| Particle markov chain monte carlo methods C Andrieu, A Doucet, R Holenstein Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2010 | 1632 | 2010 |
| On sequential simulation-based methods for Bayesian filtering A Doucet | 933 | 1998 |
| A tutorial on adaptive MCMC C Andrieu, J Thoms Statistics and computing 18 (4), 343-373, 2008 | 646 | 2008 |
| The pseudo-marginal approach for efficient Monte Carlo computations C Andrieu, GO Roberts The Annals of Statistics 37 (2), 697-725, 2009 | 630 | 2009 |
| 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 | 364 | 2004 |
| On the ergodicity properties of some adaptive MCMC algorithms C Andrieu, É Moulines The Annals of Applied Probability 16 (3), 1462-1505, 2006 | 300 | 2006 |
| Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC C Andrieu, A Doucet IEEE Transactions on Signal Processing 47 (10), 2667-2676, 1999 | 289 | 1999 |
| Particle filtering for partially observed Gaussian state space models C Andrieu, A Doucet Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2002 | 257 | 2002 |
| Stability of stochastic approximation under verifiable conditions C Andrieu, É Moulines, P Priouret SIAM Journal on control and optimization 44 (1), 283-312, 2005 | 207 | 2005 |
| Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions C Andrieu, M Davy, A Doucet IEEE Transactions on signal processing 51 (7), 1762-1770, 2003 | 201 | 2003 |
| Bayesian curve fitting using MCMC with applications to signal segmentation E Punskaya, C Andrieu, A Doucet, WJ Fitzgerald IEEE Transactions on signal processing 50 (3), 747-758, 2002 | 200 | 2002 |
| Particle methods for Bayesian modeling and enhancement of speech signals J Vermaak, C Andrieu, A Doucet, SJ Godsill IEEE Transactions on Speech and Audio Processing 10 (3), 173-185, 2002 | 200 | 2002 |
| Particle filtering for multi-target tracking and sensor management A Doucet, BN Vo, C Andrieu, M Davy Proceedings of the Fifth International Conference on Information Fusion …, 2002 | 160 | 2002 |
| Sequential MCMC for Bayesian model selection C Andrieu, N De Freitas, A Doucet Proceedings of the IEEE Signal Processing Workshop on Higher-Order …, 1999 | 160 | 1999 |
| Model criticism based on likelihood-free inference, with an application to protein network evolution O Ratmann, C Andrieu, C Wiuf, S Richardson Proceedings of the National Academy of Sciences 106 (26), 10576-10581, 2009 | 145 | 2009 |
| Iterative algorithms for state estimation of jump Markov linear systems A Doucet, C Andrieu IEEE transactions on signal processing 49 (6), 1216-1227, 2001 | 145 | 2001 |
| On-line parameter estimation in general state-space models C Andrieu, A Doucet, VB Tadic Proceedings of the 44th IEEE Conference on Decision and Control, 332-337, 2005 | 128 | 2005 |
| Model selection by MCMC computation C Andrieu, PM Djurić, A Doucet Signal Processing 81 (1), 19-37, 2001 | 116 | 2001 |
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
